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Repository: lukasmasuch/best-of-ml-python
Branch: main
Commit: fa1d1f8d723e
Files: 430
Total size: 98.2 MB
Directory structure:
gitextract_dquk0npl/
├── .github/
│ ├── .gitattributes
│ ├── CODE_OF_CONDUCT.md
│ ├── ISSUE_TEMPLATE/
│ │ ├── 01_suggest-project.md
│ │ ├── 02_update-project.md
│ │ ├── 03_update-categories.md
│ │ ├── 04_change-configuration.md
│ │ └── 05_anything-else.md
│ ├── PULL_REQUEST_TEMPLATE.md
│ └── workflows/
│ └── update-best-of-list.yml
├── .gitignore
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── config/
│ ├── footer.md
│ └── header.md
├── history/
│ ├── 2020-11-30_projects.csv
│ ├── 2020-12-15_projects.csv
│ ├── 2020-12-16_projects.csv
│ ├── 2020-12-18_changes.md
│ ├── 2020-12-18_projects.csv
│ ├── 2020-12-27_changes.md
│ ├── 2020-12-27_projects.csv
│ ├── 2020-12-28_changes.md
│ ├── 2020-12-28_projects.csv
│ ├── 2021-01-01_changes.md
│ ├── 2021-01-01_projects.csv
│ ├── 2021-01-08_changes.md
│ ├── 2021-01-08_projects.csv
│ ├── 2021-01-13_changes.md
│ ├── 2021-01-13_projects.csv
│ ├── 2021-01-17_changes.md
│ ├── 2021-01-17_projects.csv
│ ├── 2021-01-21_changes.md
│ ├── 2021-01-21_projects.csv
│ ├── 2021-01-28_changes.md
│ ├── 2021-01-28_projects.csv
│ ├── 2021-02-04_changes.md
│ ├── 2021-02-04_projects.csv
│ ├── 2021-02-18_changes.md
│ ├── 2021-02-18_projects.csv
│ ├── 2021-02-25_changes.md
│ ├── 2021-02-25_projects.csv
│ ├── 2021-03-04_changes.md
│ ├── 2021-03-04_projects.csv
│ ├── 2021-03-11_changes.md
│ ├── 2021-03-11_projects.csv
│ ├── 2021-04-01_changes.md
│ ├── 2021-04-01_projects.csv
│ ├── 2021-04-08_changes.md
│ ├── 2021-04-08_projects.csv
│ ├── 2021-04-15_changes.md
│ ├── 2021-04-15_projects.csv
│ ├── 2021-04-22_changes.md
│ ├── 2021-04-22_projects.csv
│ ├── 2021-04-29_changes.md
│ ├── 2021-04-29_projects.csv
│ ├── 2021-05-13_changes.md
│ ├── 2021-05-13_projects.csv
│ ├── 2021-06-03_changes.md
│ ├── 2021-06-03_projects.csv
│ ├── 2021-07-01_changes.md
│ ├── 2021-07-01_projects.csv
│ ├── 2021-07-08_changes.md
│ ├── 2021-07-08_projects.csv
│ ├── 2021-07-15_changes.md
│ ├── 2021-07-15_projects.csv
│ ├── 2021-08-19_changes.md
│ ├── 2021-08-19_projects.csv
│ ├── 2021-08-26_changes.md
│ ├── 2021-08-26_projects.csv
│ ├── 2021-11-17_changes.md
│ ├── 2021-11-17_projects.csv
│ ├── 2021-12-02_changes.md
│ ├── 2021-12-02_projects.csv
│ ├── 2021-12-09_changes.md
│ ├── 2021-12-09_projects.csv
│ ├── 2021-12-30_changes.md
│ ├── 2021-12-30_projects.csv
│ ├── 2022-01-06_changes.md
│ ├── 2022-01-06_projects.csv
│ ├── 2022-01-09_changes.md
│ ├── 2022-01-09_projects.csv
│ ├── 2022-01-13_changes.md
│ ├── 2022-01-13_projects.csv
│ ├── 2022-02-10_changes.md
│ ├── 2022-02-10_projects.csv
│ ├── 2022-02-17_changes.md
│ ├── 2022-02-17_projects.csv
│ ├── 2022-04-14_changes.md
│ ├── 2022-04-14_projects.csv
│ ├── 2022-04-21_changes.md
│ ├── 2022-04-21_projects.csv
│ ├── 2022-04-28_changes.md
│ ├── 2022-04-28_projects.csv
│ ├── 2022-04-29_changes.md
│ ├── 2022-04-29_projects.csv
│ ├── 2022-05-05_changes.md
│ ├── 2022-05-05_projects.csv
│ ├── 2022-05-12_changes.md
│ ├── 2022-05-12_projects.csv
│ ├── 2022-05-19_changes.md
│ ├── 2022-05-19_projects.csv
│ ├── 2022-05-26_changes.md
│ ├── 2022-05-26_projects.csv
│ ├── 2022-06-02_changes.md
│ ├── 2022-06-02_projects.csv
│ ├── 2022-06-09_changes.md
│ ├── 2022-06-09_projects.csv
│ ├── 2022-06-16_changes.md
│ ├── 2022-06-16_projects.csv
│ ├── 2022-06-19_changes.md
│ ├── 2022-06-19_projects.csv
│ ├── 2022-06-23_changes.md
│ ├── 2022-06-23_projects.csv
│ ├── 2022-06-30_changes.md
│ ├── 2022-06-30_projects.csv
│ ├── 2022-07-07_changes.md
│ ├── 2022-07-07_projects.csv
│ ├── 2022-07-14_changes.md
│ ├── 2022-07-14_projects.csv
│ ├── 2022-07-21_changes.md
│ ├── 2022-07-21_projects.csv
│ ├── 2022-07-28_changes.md
│ ├── 2022-07-28_projects.csv
│ ├── 2022-08-04_changes.md
│ ├── 2022-08-04_projects.csv
│ ├── 2022-08-11_changes.md
│ ├── 2022-08-11_projects.csv
│ ├── 2022-08-18_changes.md
│ ├── 2022-08-18_projects.csv
│ ├── 2022-08-25_changes.md
│ ├── 2022-08-25_projects.csv
│ ├── 2022-09-01_changes.md
│ ├── 2022-09-01_projects.csv
│ ├── 2022-09-08_changes.md
│ ├── 2022-09-08_projects.csv
│ ├── 2022-09-15_changes.md
│ ├── 2022-09-15_projects.csv
│ ├── 2022-09-22_changes.md
│ ├── 2022-09-22_projects.csv
│ ├── 2022-09-29_changes.md
│ ├── 2022-09-29_projects.csv
│ ├── 2022-10-06_changes.md
│ ├── 2022-10-06_projects.csv
│ ├── 2022-10-13_changes.md
│ ├── 2022-10-13_projects.csv
│ ├── 2022-10-20_changes.md
│ ├── 2022-10-20_projects.csv
│ ├── 2022-10-27_changes.md
│ ├── 2022-10-27_projects.csv
│ ├── 2022-11-03_changes.md
│ ├── 2022-11-03_projects.csv
│ ├── 2022-11-10_changes.md
│ ├── 2022-11-10_projects.csv
│ ├── 2022-11-17_changes.md
│ ├── 2022-11-17_projects.csv
│ ├── 2022-11-24_changes.md
│ ├── 2022-11-24_projects.csv
│ ├── 2022-12-01_changes.md
│ ├── 2022-12-01_projects.csv
│ ├── 2022-12-08_changes.md
│ ├── 2022-12-08_projects.csv
│ ├── 2022-12-15_changes.md
│ ├── 2022-12-15_projects.csv
│ ├── 2022-12-29_changes.md
│ ├── 2022-12-29_projects.csv
│ ├── 2023-01-05_changes.md
│ ├── 2023-01-05_projects.csv
│ ├── 2023-01-12_changes.md
│ ├── 2023-01-12_projects.csv
│ ├── 2023-01-19_changes.md
│ ├── 2023-01-19_projects.csv
│ ├── 2023-01-26_changes.md
│ ├── 2023-01-26_projects.csv
│ ├── 2023-02-02_changes.md
│ ├── 2023-02-02_projects.csv
│ ├── 2023-02-09_changes.md
│ ├── 2023-02-09_projects.csv
│ ├── 2023-02-16_changes.md
│ ├── 2023-02-16_projects.csv
│ ├── 2023-02-23_changes.md
│ ├── 2023-02-23_projects.csv
│ ├── 2023-03-02_changes.md
│ ├── 2023-03-02_projects.csv
│ ├── 2023-03-09_changes.md
│ ├── 2023-03-09_projects.csv
│ ├── 2023-03-16_changes.md
│ ├── 2023-03-16_projects.csv
│ ├── 2023-03-23_changes.md
│ ├── 2023-03-23_projects.csv
│ ├── 2023-03-30_changes.md
│ ├── 2023-03-30_projects.csv
│ ├── 2023-04-06_changes.md
│ ├── 2023-04-06_projects.csv
│ ├── 2023-04-13_changes.md
│ ├── 2023-04-13_projects.csv
│ ├── 2023-04-20_changes.md
│ ├── 2023-04-20_projects.csv
│ ├── 2023-04-27_changes.md
│ ├── 2023-04-27_projects.csv
│ ├── 2023-05-04_changes.md
│ ├── 2023-05-04_projects.csv
│ ├── 2023-05-11_changes.md
│ ├── 2023-05-11_projects.csv
│ ├── 2023-05-18_changes.md
│ ├── 2023-05-18_projects.csv
│ ├── 2023-05-25_changes.md
│ ├── 2023-05-25_projects.csv
│ ├── 2023-06-01_changes.md
│ ├── 2023-06-01_projects.csv
│ ├── 2023-06-08_changes.md
│ ├── 2023-06-08_projects.csv
│ ├── 2023-06-15_changes.md
│ ├── 2023-06-15_projects.csv
│ ├── 2023-06-22_changes.md
│ ├── 2023-06-22_projects.csv
│ ├── 2023-06-29_changes.md
│ ├── 2023-06-29_projects.csv
│ ├── 2023-07-06_changes.md
│ ├── 2023-07-06_projects.csv
│ ├── 2023-07-13_changes.md
│ ├── 2023-07-13_projects.csv
│ ├── 2023-07-20_changes.md
│ ├── 2023-07-20_projects.csv
│ ├── 2023-07-27_changes.md
│ ├── 2023-07-27_projects.csv
│ ├── 2023-08-03_changes.md
│ ├── 2023-08-03_projects.csv
│ ├── 2023-08-10_changes.md
│ ├── 2023-08-10_projects.csv
│ ├── 2023-08-17_changes.md
│ ├── 2023-08-17_projects.csv
│ ├── 2023-08-24_changes.md
│ ├── 2023-08-24_projects.csv
│ ├── 2023-08-31_changes.md
│ ├── 2023-08-31_projects.csv
│ ├── 2023-09-07_changes.md
│ ├── 2023-09-07_projects.csv
│ ├── 2023-09-14_changes.md
│ ├── 2023-09-14_projects.csv
│ ├── 2023-09-21_changes.md
│ ├── 2023-09-21_projects.csv
│ ├── 2023-09-28_changes.md
│ ├── 2023-09-28_projects.csv
│ ├── 2023-10-05_changes.md
│ ├── 2023-10-05_projects.csv
│ ├── 2023-10-12_changes.md
│ ├── 2023-10-12_projects.csv
│ ├── 2023-10-19_changes.md
│ ├── 2023-10-19_projects.csv
│ ├── 2023-10-26_changes.md
│ ├── 2023-10-26_projects.csv
│ ├── 2023-11-09_changes.md
│ ├── 2023-11-09_projects.csv
│ ├── 2023-11-16_changes.md
│ ├── 2023-11-16_projects.csv
│ ├── 2023-11-23_changes.md
│ ├── 2023-11-23_projects.csv
│ ├── 2023-11-30_changes.md
│ ├── 2023-11-30_projects.csv
│ ├── 2023-12-07_changes.md
│ ├── 2023-12-07_projects.csv
│ ├── 2023-12-14_changes.md
│ ├── 2023-12-14_projects.csv
│ ├── 2023-12-21_changes.md
│ ├── 2023-12-21_projects.csv
│ ├── 2023-12-28_changes.md
│ ├── 2023-12-28_projects.csv
│ ├── 2024-01-04_changes.md
│ ├── 2024-01-04_projects.csv
│ ├── 2024-01-11_changes.md
│ ├── 2024-01-11_projects.csv
│ ├── 2024-01-18_changes.md
│ ├── 2024-01-18_projects.csv
│ ├── 2024-01-25_changes.md
│ ├── 2024-01-25_projects.csv
│ ├── 2024-02-08_changes.md
│ ├── 2024-02-08_projects.csv
│ ├── 2024-02-15_changes.md
│ ├── 2024-02-15_projects.csv
│ ├── 2024-02-22_changes.md
│ ├── 2024-02-22_projects.csv
│ ├── 2024-02-29_changes.md
│ ├── 2024-02-29_projects.csv
│ ├── 2024-03-07_changes.md
│ ├── 2024-03-07_projects.csv
│ ├── 2024-03-14_changes.md
│ ├── 2024-03-14_projects.csv
│ ├── 2024-03-21_changes.md
│ ├── 2024-03-21_projects.csv
│ ├── 2024-03-28_changes.md
│ ├── 2024-03-28_projects.csv
│ ├── 2024-04-04_changes.md
│ ├── 2024-04-04_projects.csv
│ ├── 2024-04-11_changes.md
│ ├── 2024-04-11_projects.csv
│ ├── 2024-04-18_changes.md
│ ├── 2024-04-18_projects.csv
│ ├── 2024-05-02_changes.md
│ ├── 2024-05-02_projects.csv
│ ├── 2024-05-09_changes.md
│ ├── 2024-05-09_projects.csv
│ ├── 2024-05-16_changes.md
│ ├── 2024-05-16_projects.csv
│ ├── 2024-05-23_changes.md
│ ├── 2024-05-23_projects.csv
│ ├── 2024-05-30_changes.md
│ ├── 2024-05-30_projects.csv
│ ├── 2024-06-06_changes.md
│ ├── 2024-06-06_projects.csv
│ ├── 2024-09-05_changes.md
│ ├── 2024-09-05_projects.csv
│ ├── 2024-09-12_changes.md
│ ├── 2024-09-12_projects.csv
│ ├── 2024-09-19_changes.md
│ ├── 2024-09-19_projects.csv
│ ├── 2024-09-26_changes.md
│ ├── 2024-09-26_projects.csv
│ ├── 2024-10-03_changes.md
│ ├── 2024-10-03_projects.csv
│ ├── 2024-10-10_changes.md
│ ├── 2024-10-10_projects.csv
│ ├── 2024-10-24_changes.md
│ ├── 2024-10-24_projects.csv
│ ├── 2024-10-31_changes.md
│ ├── 2024-10-31_projects.csv
│ ├── 2024-11-07_changes.md
│ ├── 2024-11-07_projects.csv
│ ├── 2024-11-14_changes.md
│ ├── 2024-11-14_projects.csv
│ ├── 2024-11-21_changes.md
│ ├── 2024-11-21_projects.csv
│ ├── 2024-11-28_changes.md
│ ├── 2024-11-28_projects.csv
│ ├── 2024-12-05_changes.md
│ ├── 2024-12-05_projects.csv
│ ├── 2024-12-12_changes.md
│ ├── 2024-12-12_projects.csv
│ ├── 2024-12-19_changes.md
│ ├── 2024-12-19_projects.csv
│ ├── 2024-12-26_changes.md
│ ├── 2024-12-26_projects.csv
│ ├── 2025-01-02_changes.md
│ ├── 2025-01-02_projects.csv
│ ├── 2025-01-09_changes.md
│ ├── 2025-01-09_projects.csv
│ ├── 2025-01-16_changes.md
│ ├── 2025-01-16_projects.csv
│ ├── 2025-01-23_changes.md
│ ├── 2025-01-23_projects.csv
│ ├── 2025-01-30_changes.md
│ ├── 2025-01-30_projects.csv
│ ├── 2025-02-06_changes.md
│ ├── 2025-02-06_projects.csv
│ ├── 2025-02-13_changes.md
│ ├── 2025-02-13_projects.csv
│ ├── 2025-02-20_changes.md
│ ├── 2025-02-20_projects.csv
│ ├── 2025-02-27_changes.md
│ ├── 2025-02-27_projects.csv
│ ├── 2025-03-06_changes.md
│ ├── 2025-03-06_projects.csv
│ ├── 2025-03-13_changes.md
│ ├── 2025-03-13_projects.csv
│ ├── 2025-03-20_changes.md
│ ├── 2025-03-20_projects.csv
│ ├── 2025-03-27_changes.md
│ ├── 2025-03-27_projects.csv
│ ├── 2025-04-03_changes.md
│ ├── 2025-04-03_projects.csv
│ ├── 2025-04-10_changes.md
│ ├── 2025-04-10_projects.csv
│ ├── 2025-04-17_changes.md
│ ├── 2025-04-17_projects.csv
│ ├── 2025-04-24_changes.md
│ ├── 2025-04-24_projects.csv
│ ├── 2025-05-08_changes.md
│ ├── 2025-05-08_projects.csv
│ ├── 2025-05-15_changes.md
│ ├── 2025-05-15_projects.csv
│ ├── 2025-05-22_changes.md
│ ├── 2025-05-22_projects.csv
│ ├── 2025-05-29_changes.md
│ ├── 2025-05-29_projects.csv
│ ├── 2025-06-05_changes.md
│ ├── 2025-06-05_projects.csv
│ ├── 2025-06-12_changes.md
│ ├── 2025-06-12_projects.csv
│ ├── 2025-06-19_changes.md
│ ├── 2025-06-19_projects.csv
│ ├── 2025-06-26_changes.md
│ ├── 2025-06-26_projects.csv
│ ├── 2025-07-03_changes.md
│ ├── 2025-07-03_projects.csv
│ ├── 2025-07-10_changes.md
│ ├── 2025-07-10_projects.csv
│ ├── 2025-07-17_changes.md
│ ├── 2025-07-17_projects.csv
│ ├── 2025-07-24_changes.md
│ ├── 2025-07-24_projects.csv
│ ├── 2025-07-31_changes.md
│ ├── 2025-07-31_projects.csv
│ ├── 2025-08-07_changes.md
│ ├── 2025-08-07_projects.csv
│ ├── 2025-08-14_changes.md
│ ├── 2025-08-14_projects.csv
│ ├── 2025-08-21_changes.md
│ ├── 2025-08-21_projects.csv
│ ├── 2025-08-28_changes.md
│ ├── 2025-08-28_projects.csv
│ ├── 2025-09-04_changes.md
│ ├── 2025-09-04_projects.csv
│ ├── 2025-09-11_changes.md
│ ├── 2025-09-11_projects.csv
│ ├── 2025-09-18_changes.md
│ ├── 2025-09-18_projects.csv
│ ├── 2025-09-25_changes.md
│ ├── 2025-09-25_projects.csv
│ ├── 2025-10-02_changes.md
│ ├── 2025-10-02_projects.csv
│ ├── 2025-10-09_changes.md
│ ├── 2025-10-09_projects.csv
│ ├── 2025-10-16_changes.md
│ ├── 2025-10-16_projects.csv
│ ├── 2025-10-23_changes.md
│ ├── 2025-10-23_projects.csv
│ ├── 2025-10-30_changes.md
│ └── 2025-10-30_projects.csv
├── latest-changes.md
└── projects.yaml
================================================
FILE CONTENTS
================================================
================================================
FILE: .github/.gitattributes
================================================
* linguist-language=Python
================================================
FILE: .github/CODE_OF_CONDUCT.md
================================================
# Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment
include:
* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
* The use of sexualized language or imagery and unwelcome sexual attention or
advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic
address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces
when an individual is representing the project or its community. Examples of
representing a project or community include using an official project e-mail
address, posting via an official social media account, or acting as an appointed
representative at an online or offline event. Representation of a project may be
further defined and clarified by project maintainers.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the project team at team@mltooling.org. All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see
https://www.contributor-covenant.org/faq
================================================
FILE: .github/ISSUE_TEMPLATE/01_suggest-project.md
================================================
---
name: "📦 Suggest a project"
about: "Do you like to suggest a project that hasn't been added to this best-of list yet?"
title: 'Add project: '
labels: 'add-project'
assignees: ''
---
<!--
Please make sure that the project was not already added or suggested to this best-of list. You can ensure this by searching the projects.yaml, the README.md, and the issue list.
-->
**Project details:**
<!-- Please fill out as much of the following information as possible. -->
- Project Name:
- Github URL:
- Category: <!-- Choose one of the existing categories from the README.md or projects.yaml file -->
- License:
- Package Managers: <!-- Add the IDs for every package manager that the project is available on (e.g. npm, pypi, conda, dockerhub, maven, apt, ...). For example: pypi:tensorflow conda:conda-forge/tensorflow dockerhub:tensorflow/tensorflow -->
**Additional context:**
<!-- Optional. Add any other context or additional information about the project. -->
================================================
FILE: .github/ISSUE_TEMPLATE/02_update-project.md
================================================
---
name: "✏️ Update a project"
about: Do you have changes for a project, e.g. missing package manager, wrong license or category?
title: 'Update project: '
labels: 'update-project'
assignees: ''
---
**Update details:**
<!---
Please state the project name that this update is referring to and list all information or metadata that needs to be changed, added or removed. This might include the license, package managers, github url, description, and any other available property.
-->
- Project Name:
<!--- State all information that needs to be updated. -->
**Additional context:**
<!-- Add any other context or additional information about why this change is important. -->
================================================
FILE: .github/ISSUE_TEMPLATE/03_update-categories.md
================================================
---
name: "🏷 Add or update a category"
about: Do you like to suggest a new project category or update an existing one?
title: ''
labels: 'category'
assignees: ''
---
<!--
Please select either to add or to update a category. Tick of with: [] -> [x]
-->
- [ ] Add category
- [ ] Update category: <!-- Category Name or ID -->
**Category details:**
<!---
Please state the category details that should be added or changed.
-->
- Category Title:
- Category Subtitle:
**Additional context:**
<!-- Add any other context or additional information about why this change or addition is important. -->
================================================
FILE: .github/ISSUE_TEMPLATE/04_change-configuration.md
================================================
---
name: "⚙️ Change configuration"
about: Do you have a suggestion for changing the configuration, e.g. allow additional licenses or adjust minimal stars?
title: ''
labels: 'configuration'
assignees: ''
---
**Configuration Change:**
<!-- Describe your suggested configuration change. -->
================================================
FILE: .github/ISSUE_TEMPLATE/05_anything-else.md
================================================
---
name: "\U0001F4AC Anything else?"
about: For questions or suggestions regarding the metadata collection or markdown generation, please refer to the best-of-lists/best-of-generator repository.
title: ''
labels: 'question'
assignees: ''
---
<!--
For questions or suggestions regarding the project metadata collection or markdown generation, please refer to the best-of-generator repository: https://github.com/best-of-lists/best-of-generator
-->
**Describe the issue:**
<!-- Describe your issue, but please be descriptive! Include screenshots, logs, code or other info to help explain your problem -->
================================================
FILE: .github/PULL_REQUEST_TEMPLATE.md
================================================
**What kind of change does this PR introduce?**
<!-- (Update "[ ]" to "[x]" to check a box) -->
- [ ] Add a project
- [ ] Update a project
- [ ] Remove a project
- [ ] Add or update a category
- [ ] Change configuration
- [ ] Documentation
- [ ] Other, please describe:
**Description:**
<!--- Use this section to describe your changes. We recommend only to add, update, or remove one project per pull request. If your PR adds a new project, just put the project name and a short description of the project here.-->
**Checklist:**
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [ ] I have read the [CONTRIBUTING](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md) guidelines.
- [ ] I have not modified the `README.md` file. Projects are only supposed to be added or updated within the `projects.yaml` file since the `README.md` file is automatically generated.
================================================
FILE: .github/workflows/update-best-of-list.yml
================================================
# Based on https://github.com/best-of-lists/best-of-update-action/blob/v0.8.5/workflows/update-best-of-list.yml
name: update-best-of-list
on:
workflow_dispatch:
inputs:
version:
description: "Version to use for this update"
required: false
schedule:
- cron: "0 14 * * 4" # Every thursday at 2pm
env:
BRANCH_PREFIX: "update/"
DEFAULT_BRANCH: "main"
jobs:
update-best-of-list:
runs-on: ubuntu-latest
steps:
- if: ${{ github.event.inputs != null && github.event.inputs.version != null }}
name: set-version-from-input
run: echo "VERSION=${{ github.event.inputs.version }}" >> $GITHUB_ENV
- if: ${{ ! (env.VERSION != null && env.VERSION != '') }}
name: set-version-via-date
run: echo "VERSION=$(date '+%Y.%m.%d')" >> $GITHUB_ENV
- uses: actions/checkout@v4
- name: check-version-tag
shell: bash
run: |
git fetch --tags --force
git show-ref --tags --verify --quiet -- "refs/tags/${{ env.VERSION }}" && echo "VERSION=$(date '+%Y.%m.%d-%H.%M')" >> $GITHUB_ENV || exit 0
- name: create-update-branch
uses: peterjgrainger/action-create-branch@v3.0.0
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
branch: "${{ env.BRANCH_PREFIX }}${{ env.VERSION }}"
- uses: actions/checkout@v4
with:
fetch-depth: 0
ref: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }}
token: ${{ secrets.GITHUB_TOKEN }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: update-best-of-list
uses: best-of-lists/best-of-update-action@v0.8.5
with:
libraries_key: ${{ secrets.LIBRARIES_KEY }}
github_key: ${{ secrets.GITHUB_TOKEN }}
- name: push-update
uses: stefanzweifel/git-auto-commit-action@v4
with:
branch: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }}
commit_user_name: best-of update
commit_user_email: actions@github.com
commit_message: Update best-of list for version ${{ env.VERSION }}
tagging_message: ${{ env.VERSION }}
skip_dirty_check: true
commit_options: "--allow-empty"
- name: create-pull-request
shell: bash
run: |
# Stops script execution if a command has an error
set -e
curl -fsSL https://github.com/github/hub/raw/master/script/get | bash -s 2.14.2
bin/hub pull-request -b ${{ env.DEFAULT_BRANCH }} -h ${{ env.BRANCH_PREFIX }}${{ env.VERSION }} --no-edit -m "Best-of update: ${{ env.VERSION }}" -m "To finish this update: Select <code>Merge pull request</code> below and <code>Confirm merge</code>. Also, make sure to publish the created draft release in the [releases section](../releases) as well." || true
rm bin/hub
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: create-release
uses: actions/create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: ${{ env.VERSION }}
release_name: "Update: ${{ env.VERSION }}"
body_path: "latest-changes.md"
draft: true
prerelease: false
================================================
FILE: .gitignore
================================================
# IntelliJ
target/
.idea/
*.iml
# Sublime
*.sublime-workspace
# Eclipse
.settings
# VS Code
.project
.classpath
# Shared VS Code Settings
.vscode/*
!.vscode/README.md
!.vscode/recommended-settings.json
!.vscode/recommended-tasks.json
!.vscode/recommended-launch.json
!.vscode/extensions.json
# Ignore all local history of files
**/.history
# Java
*.class
target/
# C
*.so
# Python
*.pyc
*.egg-info
__pycache__
.ipynb_checkpoints
.Python
dist/
.python-version
.installed.cfg
*.egg
reqlib-metadata
.mypy_cache/
.venv
venv/
build/
# Byte-compiled / optimized / DLL files
*.pyc
__pycache__/
*.py[cod]
*$py.class
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*,cover
.hypothesis/
.pytest_cache/
# NPM / Node / JavaScript
.npm
node_modules/
jspm_packages/
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
# vim temporary files
*~
.*.sw?
# Other Artifacts
hs_err_pid*
*.log
*.swp
*.swo
temp/*
.DS_Store
================================================
FILE: CONTRIBUTING.md
================================================
<!-- markdownlint-disable MD024 -->
# Contribution Guidelines
Thanks for your interest in contributing to our project. This page will give you a quick overview of how things are organized and, most importantly, how to get involved. Everyone is welcome to contribute, and we value everybody's contribution.
## Table of contents
1. [Add a project](#add-a-project)
2. [Update a project](#update-a-project)
3. [Improve metadata collection](#improve-metadata-collection)
4. [Improve markdown generation](#improve-markdown-generation)
5. [Create your own best-of list](#improve-markdown-generation)
6. [Code of conduct](#code-of-conduct)
## Add a project
If you like to suggest or add a project, choose one of the following ways:
- Suggest a project by opening an issue: Please use the suggest project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.
- Add a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your addition. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).
Before opening an issue or pull request, please ensure that you adhere to the following guidelines:
- Please make sure that the project was not already added or suggested to this best-of list. You can ensure this by searching the projects.yaml, the Readme, and the issue list.
- Add the project to the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to add a new project, for example:
```yaml
- name: Tensorflow
github_id: tensorflow/tensorflow
pypi_id: tensorflow
conda_id: tensorflow
labels: ["tensorflow"]
category: ml-frameworks
```
- Please create an individual issue or pull request for each project.
- Please use the following title format for the issue or pull request: `Add project: project-name`.
- If a project doesn't fit into any of the pre-existing categories, it should go under the `Others` category by not assigning any category. You can also suggest a new category via the add or update category template on the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose).
## Update a project
If you like to suggest or contribute a project update, choose one of the following ways:
- Suggest a project update by opening an issue: Please use the update project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.
- Update a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your changes. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).
Before opening an issue or pull request, please ensure that you adhere to the following guidelines:
- Only update the project in the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to update a new project.
- Please create an individual issue or pull request for each project.
- Please use the following title format for the issue or pull request: `Update project: project-name`.
## Project properties
<table>
<tr>
<th>Property</th>
<th>Description</th>
</tr>
<tr>
<td><code>name</code></td>
<td>Name of the project. This name is required to be unique on the best-of list.</td>
</tr>
<tr>
<td><code>github_id</code></td>
<td>Github ID of the project based on user or organization and the repository name, e.g. <code>best-of-lists/best-of-generator</code>.</td>
</tr>
<tr>
<td colspan="2"><b>Optional Properties:</b></td>
</tr>
<tr>
<td><code>category</code></td>
<td>Category that this project is most related to. You can find all available category IDs in the <code>projects.yaml</code> file. The project will be sorted into the <code>Others</code> category if no category is provided.</td>
</tr>
<tr>
<td><code>labels</code></td>
<td>List of labels that this project is related to. You can find all available label IDs in the <code>projects.yaml</code> file.</td>
</tr>
<tr>
<td colspan="2"><b>Supported Package Managers:</b></td>
</tr>
<tr>
<td><code>pypi_id</code></td>
<td>Project ID on the python package index (<a href="https://pypi.org">PyPi</a>).</td>
</tr>
<tr>
<td><code>conda_id</code></td>
<td>Project ID on the <a href="https://anaconda.org">conda package manager</a>. If the main package is provided on a different channel, prefix the ID with the given channel: e.g. <code>conda-forge/tensorflow</code></td>
</tr>
<tr>
<td><code>npm_id</code></td>
<td>Project ID on the Node package manager (<a href="https://www.npmjs.com">npm</a>).</td>
</tr>
<tr>
<td><code>dockerhub_id</code></td>
<td>Project ID on the <a href="https://hub.docker.com">Docker Hub container registry</a>. </td>
</tr>
<tr>
<td><code>maven_id</code></td>
<td>Artifact ID on <a href="https://mvnrepository.com">Maven central</a>, e.g. <code>org.apache.flink:flink-core</code>. </td>
</tr>
</table>
Please refer to the [best-of-generator documentation](https://github.com/best-of-lists/best-of-generator#project-properties) for a complete and up-to-date list of supported project properties.
## Improve metadata collection
If you like to contribute to or share suggestions regarding the project metadata collection, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository.
## Improve markdown generation
If you like to contribute to or share suggestions regarding the markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository.
## Create your own best-of list
If you want to create your own best-of list, we strongly recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). With this guide, it will only take about 3 minutes to get you started. It is already set-up to automatically run the best-of generator via our Github Action and includes other useful template files.
## Code of Conduct
All members of the project community must abide by the [Contributor Covenant, version 2.0](./.github/CODE_OF_CONDUCT.md). Only by respecting each other we can develop a productive, collaborative community. Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting a project maintainer.
================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
<!-- markdownlint-disable -->
<h1 align="center">
Best-of Machine Learning with Python
<br>
</h1>
<p align="center">
<strong>🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.</strong>
</p>
<p align="center">
<a href="https://github.com/ml-tooling/best-of" title="Best-of-badge"><img src="http://bit.ly/3o3EHNN"></a>
<a href="#Contents" title="Project Count"><img src="https://img.shields.io/badge/projects-920-blue.svg?color=5ac4bf"></a>
<a href="#Contribution" title="Contributions are welcome"><img src="https://img.shields.io/badge/contributions-welcome-green.svg"></a>
<a href="https://github.com/ml-tooling/best-of-ml-python/releases" title="Best-of Updates"><img src="https://img.shields.io/github/release-date/ml-tooling/best-of-ml-python?color=green&label=updated"></a>
<a href="https://mltooling.substack.com/subscribe" title="Subscribe to newsletter"><img src="http://bit.ly/2Md9rxM"></a>
<a href="https://twitter.com/mltooling" title="Follow on Twitter"><img src="https://img.shields.io/twitter/follow/mltooling.svg?style=social&label=Follow"></a>
</p>
This curated list contains 920 awesome open-source projects with a total of 5.1M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
---
<p align="center">
🧙♂️ Discover other <a href="https://best-of.org">best-of lists</a> or create <a href="https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md">your own</a>.<br>
📫 Subscribe to our <a href="https://mltooling.substack.com/subscribe">newsletter</a> for updates and trending projects.
</p>
---
## Contents
- [Machine Learning Frameworks](#machine-learning-frameworks) _64 projects_
- [Data Visualization](#data-visualization) _55 projects_
- [Text Data & NLP](#text-data--nlp) _103 projects_
- [Image Data](#image-data) _64 projects_
- [Graph Data](#graph-data) _36 projects_
- [Audio Data](#audio-data) _29 projects_
- [Geospatial Data](#geospatial-data) _22 projects_
- [Financial Data](#financial-data) _25 projects_
- [Time Series Data](#time-series-data) _29 projects_
- [Medical Data](#medical-data) _19 projects_
- [Tabular Data](#tabular-data) _6 projects_
- [Optical Character Recognition](#optical-character-recognition) _12 projects_
- [Data Containers & Structures](#data-containers--structures) _1 projects_
- [Data Loading & Extraction](#data-loading--extraction) _1 projects_
- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
- [Data Pipelines & Streaming](#data-pipelines--streaming) _2 projects_
- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_
- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_
- [Reinforcement Learning](#reinforcement-learning) _23 projects_
- [Recommender Systems](#recommender-systems) _17 projects_
- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_
- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
- [Model Interpretability](#model-interpretability) _55 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _24 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_
- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_
- [Jax Utilities](#jax-utilities) _3 projects_
- [Sklearn Utilities](#sklearn-utilities) _19 projects_
- [Pytorch Utilities](#pytorch-utilities) _32 projects_
- [Database Clients](#database-clients) _1 projects_
- [Others](#others) _66 projects_
## Explanation
- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project _(less than 6 months old)_
- 💤 Inactive project _(6 months no activity)_
- 💀 Dead project _(12 months no activity)_
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning _(e.g. missing/risky license)_
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 Number of dependent projects
- <img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"> Tensorflow related project
- <img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"> Sklearn related project
- <img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"> PyTorch related project
- <img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"> MxNet related project
- <img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"> Apache Spark related project
- <img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"> Jupyter related project
- <img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"> PaddlePaddle related project
- <img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"> Pandas related project
- <img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"> Jax related project
<br>
## Machine Learning Frameworks
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_General-purpose machine learning and deep learning frameworks._
<details><summary><b><a href="https://github.com/tensorflow/tensorflow">Tensorflow</a></b> (🥇56 · ⭐ 200K) - An Open Source Machine Learning Framework for Everyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 5K · 🔀 75K · 📦 540K · 📋 42K - 4% open · ⏱️ 30.10.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
- [PyPi](https://pypi.org/project/tensorflow) (📥 26M / month · 📦 9.6K · ⏱️ 13.08.2025):
```
pip install tensorflow
```
- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 6M · ⏱️ 27.10.2025):
```
conda install -c conda-forge tensorflow
```
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 81M · ⭐ 2.8K · ⏱️ 30.10.2025):
```
docker pull tensorflow/tensorflow
```
</details>
<details><summary><b><a href="https://github.com/pytorch/pytorch">PyTorch</a></b> (🥇56 · ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pytorch/pytorch) (👨💻 6K · 🔀 26K · 📥 110K · 📦 830K · 📋 56K - 30% open · ⏱️ 30.10.2025):
```
git clone https://github.com/pytorch/pytorch
```
- [PyPi](https://pypi.org/project/torch) (📥 70M / month · 📦 30K · ⏱️ 15.10.2025):
```
pip install torch
```
- [Conda](https://anaconda.org/pytorch/pytorch) (📥 29M · ⏱️ 25.03.2025):
```
conda install -c pytorch pytorch
```
</details>
<details><summary><b><a href="https://github.com/scikit-learn/scikit-learn">scikit-learn</a></b> (🥇53 · ⭐ 64K) - scikit-learn: machine learning in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3.4K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 30.10.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
- [PyPi](https://pypi.org/project/scikit-learn) (📥 140M / month · 📦 35K · ⏱️ 09.09.2025):
```
pip install scikit-learn
```
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 40M · ⏱️ 09.09.2025):
```
conda install -c conda-forge scikit-learn
```
</details>
<details><summary><b><a href="https://github.com/keras-team/keras">Keras</a></b> (🥇50 · ⭐ 64K) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/keras-team/keras) (👨💻 1.4K · 🔀 20K · 📦 300K · 📋 13K - 2% open · ⏱️ 30.10.2025):
```
git clone https://github.com/keras-team/keras
```
- [PyPi](https://pypi.org/project/keras) (📥 19M / month · 📦 2K · ⏱️ 27.10.2025):
```
pip install keras
```
- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.5M · ⏱️ 28.10.2025):
```
conda install -c conda-forge keras
```
</details>
<details><summary><b><a href="https://github.com/dmlc/xgboost">XGBoost</a></b> (🥇46 · ⭐ 28K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/dmlc/xgboost) (👨💻 670 · 🔀 8.8K · 📥 20K · 📦 170K · 📋 5.6K - 8% open · ⏱️ 30.10.2025):
```
git clone https://github.com/dmlc/xgboost
```
- [PyPi](https://pypi.org/project/xgboost) (📥 31M / month · 📦 2.9K · ⏱️ 21.10.2025):
```
pip install xgboost
```
- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.6M · ⏱️ 16.09.2025):
```
conda install -c conda-forge xgboost
```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/Paddle">PaddlePaddle</a></b> (🥇46 · ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.5K · 🔀 5.9K · 📥 15K · 📦 8.8K · 📋 20K - 8% open · ⏱️ 30.10.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
```
- [PyPi](https://pypi.org/project/paddlepaddle) (📥 1.6M / month · 📦 280 · ⏱️ 30.10.2025):
```
pip install paddlepaddle
```
</details>
<details><summary><b><a href="https://github.com/jax-ml/jax">jax</a></b> (🥇45 · ⭐ 34K) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/jax-ml/jax) (👨💻 980 · 🔀 3.2K · 📦 47K · 📋 6.6K - 24% open · ⏱️ 30.10.2025):
```
git clone https://github.com/google/jax
```
- [PyPi](https://pypi.org/project/jax) (📥 12M / month · 📦 3.1K · ⏱️ 15.10.2025):
```
pip install jax
```
- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 3.2M · ⏱️ 06.10.2025):
```
conda install -c conda-forge jaxlib
```
</details>
<details><summary><b><a href="https://github.com/Lightning-AI/pytorch-lightning">pytorch-lightning</a></b> (🥇45 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on 1 or.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 1K · 🔀 3.6K · 📥 15K · 📦 48K · 📋 7.4K - 11% open · ⏱️ 29.10.2025):
```
git clone https://github.com/Lightning-AI/lightning
```
- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 9.8M / month · 📦 1.8K · ⏱️ 05.09.2025):
```
pip install pytorch-lightning
```
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.7M · ⏱️ 05.09.2025):
```
conda install -c conda-forge pytorch-lightning
```
</details>
<details><summary><b><a href="https://github.com/statsmodels/statsmodels">StatsModels</a></b> (🥇45 · ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 470 · 🔀 3.3K · 📥 36 · 📦 180K · 📋 5.8K - 50% open · ⏱️ 22.10.2025):
```
git clone https://github.com/statsmodels/statsmodels
```
- [PyPi](https://pypi.org/project/statsmodels) (📥 24M / month · 📦 5.6K · ⏱️ 07.07.2025):
```
pip install statsmodels
```
- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 22M · ⏱️ 01.10.2025):
```
conda install -c conda-forge statsmodels
```
</details>
<details><summary><b><a href="https://github.com/apache/spark">PySpark</a></b> (🥈44 · ⭐ 42K) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/apache/spark) (👨💻 3.3K · 🔀 29K · ⏱️ 30.10.2025):
```
git clone https://github.com/apache/spark
```
- [PyPi](https://pypi.org/project/pyspark) (📥 47M / month · 📦 2.1K · ⏱️ 30.10.2025):
```
pip install pyspark
```
- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 4.2M · ⏱️ 08.09.2025):
```
conda install -c conda-forge pyspark
```
</details>
<details><summary><b><a href="https://github.com/microsoft/LightGBM">LightGBM</a></b> (🥈42 · ⭐ 18K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 330 · 🔀 3.9K · 📥 310K · 📦 56K · 📋 3.6K - 12% open · ⏱️ 28.10.2025):
```
git clone https://github.com/microsoft/LightGBM
```
- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.6K · ⏱️ 15.02.2025):
```
pip install lightgbm
```
- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 4.1M · ⏱️ 20.10.2025):
```
conda install -c conda-forge lightgbm
```
</details>
<details><summary><b><a href="https://github.com/catboost/catboost">Catboost</a></b> (🥈42 · ⭐ 8.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/catboost/catboost) (👨💻 1.4K · 🔀 1.2K · 📥 460K · 📦 19 · 📋 2.5K - 25% open · ⏱️ 30.10.2025):
```
git clone https://github.com/catboost/catboost
```
- [PyPi](https://pypi.org/project/catboost) (📥 5.1M / month · 📦 650 · ⏱️ 13.04.2025):
```
pip install catboost
```
- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2.2M · ⏱️ 09.08.2025):
```
conda install -c conda-forge catboost
```
</details>
<details><summary><b><a href="https://github.com/fastai/fastai">Fastai</a></b> (🥈41 · ⭐ 28K) - The fastai deep learning library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/fastai/fastai) (👨💻 680 · 🔀 7.6K · 📦 23K · 📋 1.9K - 14% open · ⏱️ 26.10.2025):
```
git clone https://github.com/fastai/fastai
```
- [PyPi](https://pypi.org/project/fastai) (📥 640K / month · 📦 340 · ⏱️ 26.10.2025):
```
pip install fastai
```
</details>
<details><summary><b><a href="https://github.com/apache/flink">PyFlink</a></b> (🥈39 · ⭐ 25K) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/apache/flink) (👨💻 2.1K · 🔀 14K · 📦 21 · ⏱️ 30.10.2025):
```
git clone https://github.com/apache/flink
```
- [PyPi](https://pypi.org/project/apache-flink) (📥 450K / month · 📦 38 · ⏱️ 28.10.2025):
```
pip install apache-flink
```
</details>
<details><summary><b><a href="https://github.com/google/flax">Flax</a></b> (🥈38 · ⭐ 6.9K) - Flax is a neural network library for JAX that is designed for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/google/flax) (👨💻 280 · 🔀 740 · 📥 61 · 📦 15K · 📋 1.3K - 33% open · ⏱️ 27.10.2025):
```
git clone https://github.com/google/flax
```
- [PyPi](https://pypi.org/project/flax) (📥 2M / month · 📦 740 · ⏱️ 25.09.2025):
```
pip install flax
```
- [Conda](https://anaconda.org/conda-forge/flax) (📥 130K · ⏱️ 27.10.2025):
```
conda install -c conda-forge flax
```
</details>
<details><summary><b><a href="https://github.com/pytorch/ignite">Ignite</a></b> (🥈36 · ⭐ 4.7K) - High-level library to help with training and evaluating neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pytorch/ignite) (👨💻 1K · 🔀 660 · 📦 3.9K · 📋 1.4K - 10% open · ⏱️ 16.10.2025):
```
git clone https://github.com/pytorch/ignite
```
- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 170K / month · 📦 120 · ⏱️ 30.10.2025):
```
pip install pytorch-ignite
```
- [Conda](https://anaconda.org/pytorch/ignite) (📥 250K · ⏱️ 16.10.2025):
```
conda install -c pytorch ignite
```
</details>
<details><summary><b><a href="https://github.com/arogozhnikov/einops">einops</a></b> (🥈35 · ⭐ 9.2K) - Flexible and powerful tensor operations for readable and reliable code.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 34 · 🔀 380 · 📦 82K · 📋 200 - 17% open · ⏱️ 12.08.2025):
```
git clone https://github.com/arogozhnikov/einops
```
- [PyPi](https://pypi.org/project/einops) (📥 15M / month · 📦 2.6K · ⏱️ 09.02.2025):
```
pip install einops
```
- [Conda](https://anaconda.org/conda-forge/einops) (📥 470K · ⏱️ 22.04.2025):
```
conda install -c conda-forge einops
```
</details>
<details><summary><b><a href="https://github.com/ivy-llc/ivy">ivy</a></b> (🥈34 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/ivy-llc/ivy) (👨💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 10.10.2025):
```
git clone https://github.com/unifyai/ivy
```
- [PyPi](https://pypi.org/project/ivy) (📥 33K / month · 📦 16 · ⏱️ 16.06.2025):
```
pip install ivy
```
</details>
<details><summary><b><a href="https://github.com/jina-ai/serve">Jina</a></b> (🥈33 · ⭐ 22K · 💤) - Build multimodal AI applications with cloud-native stack. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/jina-ai/serve) (👨💻 180 · 🔀 2.2K · ⏱️ 24.03.2025):
```
git clone https://github.com/jina-ai/jina
```
- [PyPi](https://pypi.org/project/jina) (📥 120K / month · 📦 29 · ⏱️ 24.03.2025):
```
pip install jina
```
- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 110K · ⏱️ 22.04.2025):
```
conda install -c conda-forge jina-core
```
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 9 · ⏱️ 24.03.2025):
```
docker pull jinaai/jina
```
</details>
<details><summary><b><a href="https://github.com/mlpack/mlpack">mlpack</a></b> (🥈33 · ⭐ 5.5K) - mlpack: a fast, header-only C++ machine learning library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/mlpack/mlpack) (👨💻 340 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 27.10.2025):
```
git clone https://github.com/mlpack/mlpack
```
- [PyPi](https://pypi.org/project/mlpack) (📥 4.7K / month · 📦 6 · ⏱️ 22.05.2025):
```
pip install mlpack
```
- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 410K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mlpack
```
</details>
<details><summary><b><a href="https://github.com/explosion/thinc">Thinc</a></b> (🥈33 · ⭐ 2.9K · 💤) - A refreshing functional take on deep learning, compatible with your.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/explosion/thinc) (👨💻 67 · 🔀 280 · 📥 2K · 📦 70K · 📋 160 - 14% open · ⏱️ 07.03.2025):
```
git clone https://github.com/explosion/thinc
```
- [PyPi](https://pypi.org/project/thinc) (📥 17M / month · 📦 160 · ⏱️ 04.04.2025):
```
pip install thinc
```
- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.9M · ⏱️ 06.07.2025):
```
conda install -c conda-forge thinc
```
</details>
<details><summary><b><a href="https://github.com/ludwig-ai/ludwig">Ludwig</a></b> (🥉32 · ⭐ 12K · 💤) - Low-code framework for building custom LLMs, neural networks,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 160 · 🔀 1.2K · 📦 340 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
- [PyPi](https://pypi.org/project/ludwig) (📥 3.8K / month · 📦 6 · ⏱️ 30.07.2024):
```
pip install ludwig
```
</details>
<details><summary><b><a href="https://github.com/skorch-dev/skorch">skorch</a></b> (🥉32 · ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 68 · 🔀 400 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 23.10.2025):
```
git clone https://github.com/skorch-dev/skorch
```
- [PyPi](https://pypi.org/project/skorch) (📥 150K / month · 📦 110 · ⏱️ 08.08.2025):
```
pip install skorch
```
- [Conda](https://anaconda.org/conda-forge/skorch) (📥 810K · ⏱️ 08.08.2025):
```
conda install -c conda-forge skorch
```
</details>
<details><summary><b><a href="https://github.com/google-deepmind/sonnet">Sonnet</a></b> (🥉31 · ⭐ 9.9K) - TensorFlow-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 61 · 🔀 1.3K · 📦 1.5K · 📋 190 - 16% open · ⏱️ 04.08.2025):
```
git clone https://github.com/deepmind/sonnet
```
- [PyPi](https://pypi.org/project/dm-sonnet) (📥 35K / month · 📦 19 · ⏱️ 02.01.2024):
```
pip install dm-sonnet
```
- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 47K · ⏱️ 22.04.2025):
```
conda install -c conda-forge sonnet
```
</details>
<details><summary><b><a href="https://github.com/google-deepmind/dm-haiku">Haiku</a></b> (🥉31 · ⭐ 3.1K · 📉) - JAX-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 90 · 🔀 260 · 📦 2.6K · 📋 250 - 29% open · ⏱️ 29.09.2025):
```
git clone https://github.com/deepmind/dm-haiku
```
- [PyPi](https://pypi.org/project/dm-haiku) (📥 260K / month · 📦 200 · ⏱️ 18.09.2025):
```
pip install dm-haiku
```
- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 44K · ⏱️ 19.09.2025):
```
conda install -c conda-forge dm-haiku
```
</details>
<details><summary><b><a href="https://github.com/ROCm/tensorflow-upstream">tensorflow-upstream</a></b> (🥉31 · ⭐ 700) - TensorFlow ROCm port. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨💻 5K · 🔀 100 · 📥 31 · 📋 400 - 3% open · ⏱️ 29.10.2025):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.7K / month · 📦 9 · ⏱️ 10.01.2024):
```
pip install tensorflow-rocm
```
</details>
<details><summary><b><a href="https://github.com/geomstats/geomstats">Geomstats</a></b> (🥉30 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/geomstats/geomstats) (👨💻 97 · 🔀 260 · 📦 150 · 📋 570 - 36% open · ⏱️ 06.10.2025):
```
git clone https://github.com/geomstats/geomstats
```
- [PyPi](https://pypi.org/project/geomstats) (📥 15K / month · 📦 12 · ⏱️ 09.09.2024):
```
pip install geomstats
```
- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 8.2K · ⏱️ 22.04.2025):
```
conda install -c conda-forge geomstats
```
</details>
<details><summary><b><a href="https://github.com/pyRiemann/pyRiemann">pyRiemann</a></b> (🥉28 · ⭐ 700) - Machine learning for multivariate data through the Riemannian.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 38 · 🔀 170 · 📦 480 · 📋 110 - 2% open · ⏱️ 29.10.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
- [PyPi](https://pypi.org/project/pyriemann) (📥 75K / month · 📦 31 · ⏱️ 23.07.2025):
```
pip install pyriemann
```
- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 16K · ⏱️ 23.07.2025):
```
conda install -c conda-forge pyriemann
```
</details>
<details><summary><b><a href="https://github.com/numenta/nupic-legacy">NuPIC</a></b> (🥉27 · ⭐ 6.4K · 💤) - Numenta Platform for Intelligent Computing is an implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/numenta/nupic-legacy) (👨💻 120 · 🔀 1.5K · 📥 26 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):
```
git clone https://github.com/numenta/nupic
```
- [PyPi](https://pypi.org/project/nupic) (📥 510 / month · ⏱️ 01.09.2016):
```
pip install nupic
```
</details>
<details><summary><b><a href="https://github.com/determined-ai/determined">Determined</a></b> (🥉26 · ⭐ 3.2K · 💤) - Determined is an open-source machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/determined-ai/determined) (👨💻 120 · 🔀 360 · 📥 7.8K · 📋 450 - 22% open · ⏱️ 20.03.2025):
```
git clone https://github.com/determined-ai/determined
```
- [PyPi](https://pypi.org/project/determined) (📥 33K / month · 📦 4 · ⏱️ 19.03.2025):
```
pip install determined
```
</details>
<details><summary><b><a href="https://github.com/sony/nnabla">Neural Network Libraries</a></b> (🥉26 · ⭐ 2.8K) - Neural Network Libraries. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/sony/nnabla) (👨💻 76 · 🔀 340 · 📥 1K · 📋 95 - 36% open · ⏱️ 29.08.2025):
```
git clone https://github.com/sony/nnabla
```
- [PyPi](https://pypi.org/project/nnabla) (📥 1.6K / month · 📦 44 · ⏱️ 29.05.2024):
```
pip install nnabla
```
</details>
<details><summary><b><a href="https://github.com/deepinv/deepinv">deepinv</a></b> (🥉26 · ⭐ 540) - DeepInverse: a PyTorch library for solving imaging inverse problems.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/deepinv/deepinv) (👨💻 53 · 🔀 120 · 📥 24 · 📦 23 · 📋 350 - 33% open · ⏱️ 29.10.2025):
```
git clone https://github.com/deepinv/deepinv
```
- [PyPi](https://pypi.org/project/deepinv) (📥 2.4K / month · ⏱️ 08.10.2025):
```
pip install deepinv
```
</details>
<details><summary><b><a href="https://github.com/towhee-io/towhee">Towhee</a></b> (🥉23 · ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/towhee-io/towhee) (👨💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):
```
git clone https://github.com/towhee-io/towhee
```
- [PyPi](https://pypi.org/project/towhee) (📥 1.3K / month · ⏱️ 04.12.2023):
```
pip install towhee
```
</details>
<details><summary><b><a href="https://github.com/nubank/fklearn">fklearn</a></b> (🥉22 · ⭐ 1.5K) - fklearn: Functional Machine Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/nubank/fklearn) (👨💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):
```
git clone https://github.com/nubank/fklearn
```
- [PyPi](https://pypi.org/project/fklearn) (📥 750 / month · ⏱️ 26.02.2025):
```
pip install fklearn
```
</details>
<details><summary><b><a href="https://github.com/run-house/kubetorch">Runhouse</a></b> (🥉21 · ⭐ 1.1K) - Distribute and run AI workloads magically in Python, like PyTorch.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/run-house/kubetorch) (👨💻 16 · 🔀 41 · 📥 79 · ⏱️ 29.10.2025):
```
git clone https://github.com/run-house/runhouse
```
- [PyPi](https://pypi.org/project/runhouse) (📥 4.5K / month · 📦 1 · ⏱️ 10.03.2025):
```
pip install runhouse
```
</details>
<details><summary><b><a href="https://github.com/neoml-lib/neoml">NeoML</a></b> (🥉19 · ⭐ 790) - Machine learning framework for both deep learning and traditional.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 41 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 28.10.2025):
```
git clone https://github.com/neoml-lib/neoml
```
- [PyPi](https://pypi.org/project/neoml) (📥 190 / month · ⏱️ 26.12.2023):
```
pip install neoml
```
</details>
<details><summary><b><a href="https://github.com/serengil/chefboost">chefboost</a></b> (🥉19 · ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/serengil/chefboost) (👨💻 7 · 🔀 100 · 📦 72 · ⏱️ 09.07.2025):
```
git clone https://github.com/serengil/chefboost
```
- [PyPi](https://pypi.org/project/chefboost) (📥 770 / month · ⏱️ 30.10.2024):
```
pip install chefboost
```
</details>
<details><summary><b><a href="https://github.com/Xtra-Computing/thundergbm">ThunderGBM</a></b> (🥉18 · ⭐ 710 · 💤) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 12 · 🔀 88 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
- [PyPi](https://pypi.org/project/thundergbm) (📥 220 / month · ⏱️ 19.09.2022):
```
pip install thundergbm
```
</details>
<details><summary>Show 26 hidden projects...</summary>
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- <b><a href="https://github.com/NervanaSystems/neon">neon</a></b> (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/Xtra-Computing/thundersvm">ThunderSVM</a></b> (🥉22 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/pytorchbearer/torchbearer">Torchbearer</a></b> (🥉22 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/XiaoMi/mace">mace</a></b> (🥉21 · ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/google/neural-tangents">Neural Tangents</a></b> (🥉21 · ⭐ 2.4K · 💀) - Fast and Easy Infinite Neural Networks in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/google/objax">Objax</a></b> (🥉20 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/poets-ai/elegy">elegy</a></b> (🥉19 · ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/StarSpace">StarSpace</a></b> (🥉16 · ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/HenryNdubuaku/nanodl">nanodl</a></b> (🥉14 · ⭐ 300 · 💀) - A Jax-based library for building transformers, includes.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>
</details>
<br>
## Data Visualization
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_General-purpose and task-specific data visualization libraries._
<details><summary><b><a href="https://github.com/matplotlib/matplotlib">Matplotlib</a></b> (🥇49 · ⭐ 22K) - matplotlib: plotting with Python. <code>❗Unlicensed</code></summary>
- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.9K · 🔀 8.1K · 📦 1.9M · 📋 11K - 14% open · ⏱️ 30.10.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
- [PyPi](https://pypi.org/project/matplotlib) (📥 120M / month · 📦 68K · ⏱️ 09.10.2025):
```
pip install matplotlib
```
- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 33M · ⏱️ 15.10.2025):
```
conda install -c conda-forge matplotlib
```
</details>
<details><summary><b><a href="https://github.com/plotly/plotly.py">Plotly</a></b> (🥇47 · ⭐ 18K) - The interactive graphing library for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/plotly/plotly.py) (👨💻 300 · 🔀 2.7K · 📥 550 · 📦 460K · 📋 3.3K - 21% open · ⏱️ 28.10.2025):
```
git clone https://github.com/plotly/plotly.py
```
- [PyPi](https://pypi.org/project/plotly) (📥 37M / month · 📦 9.7K · ⏱️ 02.10.2025):
```
pip install plotly
```
- [Conda](https://anaconda.org/conda-forge/plotly) (📥 12M · ⏱️ 03.10.2025):
```
conda install -c conda-forge plotly
```
- [npm](https://www.npmjs.com/package/plotlywidget) (📥 2.8K / month · 📦 9 · ⏱️ 12.01.2021):
```
npm install plotlywidget
```
</details>
<details><summary><b><a href="https://github.com/plotly/dash">dash</a></b> (🥇45 · ⭐ 24K) - Data Apps & Dashboards for Python. No JavaScript Required. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/plotly/dash) (👨💻 190 · 🔀 2.2K · 📥 120 · 📦 89K · 📋 2.1K - 27% open · ⏱️ 21.10.2025):
```
git clone https://github.com/plotly/dash
```
- [PyPi](https://pypi.org/project/dash) (📥 5.5M / month · 📦 1.9K · ⏱️ 22.10.2025):
```
pip install dash
```
- [Conda](https://anaconda.org/conda-forge/dash) (📥 2.1M · ⏱️ 11.08.2025):
```
conda install -c conda-forge dash
```
</details>
<details><summary><b><a href="https://github.com/bokeh/bokeh">Bokeh</a></b> (🥇45 · ⭐ 20K) - Interactive Data Visualization in the browser, from Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/bokeh/bokeh) (👨💻 720 · 🔀 4.2K · 📦 100K · 📋 8.1K - 10% open · ⏱️ 28.10.2025):
```
git clone https://github.com/bokeh/bokeh
```
- [PyPi](https://pypi.org/project/bokeh) (📥 5M / month · 📦 2.2K · ⏱️ 13.10.2025):
```
pip install bokeh
```
- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 18M · ⏱️ 30.08.2025):
```
conda install -c conda-forge bokeh
```
</details>
<details><summary><b><a href="https://github.com/mwaskom/seaborn">Seaborn</a></b> (🥇42 · ⭐ 14K) - Statistical data visualization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 220 · 🔀 2K · 📥 510 · 📦 700K · 📋 2.6K - 6% open · ⏱️ 10.07.2025):
```
git clone https://github.com/mwaskom/seaborn
```
- [PyPi](https://pypi.org/project/seaborn) (📥 31M / month · 📦 11K · ⏱️ 25.01.2024):
```
pip install seaborn
```
- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 15M · ⏱️ 22.04.2025):
```
conda install -c conda-forge seaborn
```
</details>
<details><summary><b><a href="https://github.com/vega/altair">Altair</a></b> (🥇41 · ⭐ 10K) - Declarative visualization library for Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/vega/altair) (👨💻 180 · 🔀 800 · 📥 280 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 27.10.2025):
```
git clone https://github.com/altair-viz/altair
```
- [PyPi](https://pypi.org/project/altair) (📥 37M / month · 📦 920 · ⏱️ 23.11.2024):
```
pip install altair
```
- [Conda](https://anaconda.org/conda-forge/altair) (📥 3M · ⏱️ 22.04.2025):
```
conda install -c conda-forge altair
```
</details>
<details><summary><b><a href="https://github.com/voxel51/fiftyone">FiftyOne</a></b> (🥈39 · ⭐ 10K) - Visualize, create, and debug image and video datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 160 · 🔀 680 · 📦 1K · 📋 1.8K - 35% open · ⏱️ 29.10.2025):
```
git clone https://github.com/voxel51/fiftyone
```
- [PyPi](https://pypi.org/project/fiftyone) (📥 170K / month · 📦 36 · ⏱️ 20.10.2025):
```
pip install fiftyone
```
</details>
<details><summary><b><a href="https://github.com/xflr6/graphviz">Graphviz</a></b> (🥈39 · ⭐ 1.8K) - Simple Python interface for Graphviz. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/xflr6/graphviz) (👨💻 24 · 🔀 220 · 📦 95K · 📋 190 - 6% open · ⏱️ 26.10.2025):
```
git clone https://github.com/xflr6/graphviz
```
- [PyPi](https://pypi.org/project/graphviz) (📥 26M / month · 📦 3.2K · ⏱️ 15.06.2025):
```
pip install graphviz
```
- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 59K · ⏱️ 22.04.2025):
```
conda install -c anaconda python-graphviz
```
</details>
<details><summary><b><a href="https://github.com/pyvista/pyvista">PyVista</a></b> (🥈38 · ⭐ 3.3K) - 3D plotting and mesh analysis through a streamlined interface for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pyvista/pyvista) (👨💻 190 · 🔀 590 · 📥 960 · 📦 5.2K · 📋 2K - 35% open · ⏱️ 28.10.2025):
```
git clone https://github.com/pyvista/pyvista
```
- [PyPi](https://pypi.org/project/pyvista) (📥 1M / month · 📦 820 · ⏱️ 26.08.2025):
```
pip install pyvista
```
- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 810K · ⏱️ 10.10.2025):
```
conda install -c conda-forge pyvista
```
</details>
<details><summary><b><a href="https://github.com/holoviz/holoviews">HoloViews</a></b> (🥈38 · ⭐ 2.8K) - With Holoviews, your data visualizes itself. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/holoviz/holoviews) (👨💻 150 · 🔀 410 · 📦 17K · 📋 3.4K - 31% open · ⏱️ 29.10.2025):
```
git clone https://github.com/holoviz/holoviews
```
- [PyPi](https://pypi.org/project/holoviews) (📥 820K / month · 📦 490 · ⏱️ 29.10.2025):
```
pip install holoviews
```
- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.4M · ⏱️ 25.06.2025):
```
conda install -c conda-forge holoviews
```
- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 380 / month · 📦 7 · ⏱️ 20.06.2025):
```
npm install @pyviz/jupyterlab_pyviz
```
</details>
<details><summary><b><a href="https://github.com/pyecharts/pyecharts">pyecharts</a></b> (🥈37 · ⭐ 16K) - Python Echarts Plotting Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 45 · 🔀 2.9K · 📥 75 · 📦 5.5K · 📋 1.9K - 0% open · ⏱️ 10.10.2025):
```
git clone https://github.com/pyecharts/pyecharts
```
- [PyPi](https://pypi.org/project/pyecharts) (📥 530K / month · 📦 280 · ⏱️ 10.10.2025):
```
pip install pyecharts
```
</details>
<details><summary><b><a href="https://github.com/pyqtgraph/pyqtgraph">PyQtGraph</a></b> (🥈37 · ⭐ 4.2K) - Fast data visualization and GUI tools for scientific / engineering.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 31% open · ⏱️ 02.10.2025):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
- [PyPi](https://pypi.org/project/pyqtgraph) (📥 560K / month · 📦 1K · ⏱️ 29.04.2024):
```
pip install pyqtgraph
```
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 880K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pyqtgraph
```
</details>
<details><summary><b><a href="https://github.com/ydataai/ydata-profiling">pandas-profiling</a></b> (🥈35 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 140 · 🔀 1.7K · 📥 490 · 📦 6.9K · 📋 850 - 30% open · ⏱️ 19.09.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
- [PyPi](https://pypi.org/project/pandas-profiling) (📥 330K / month · 📦 180 · ⏱️ 03.02.2023):
```
pip install pandas-profiling
```
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 590K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pandas-profiling
```
</details>
<details><summary><b><a href="https://github.com/has2k1/plotnine">plotnine</a></b> (🥈35 · ⭐ 4.4K) - A Grammar of Graphics for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/has2k1/plotnine) (👨💻 110 · 🔀 240 · 📦 13K · 📋 750 - 10% open · ⏱️ 16.10.2025):
```
git clone https://github.com/has2k1/plotnine
```
- [PyPi](https://pypi.org/project/plotnine) (📥 2.2M / month · 📦 400 · ⏱️ 15.07.2025):
```
pip install plotnine
```
- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 560K · ⏱️ 15.07.2025):
```
conda install -c conda-forge plotnine
```
</details>
<details><summary><b><a href="https://github.com/SciTools/cartopy">cartopy</a></b> (🥈35 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/SciTools/cartopy) (👨💻 140 · 🔀 390 · 📦 8.1K · 📋 1.3K - 23% open · ⏱️ 30.10.2025):
```
git clone https://github.com/SciTools/cartopy
```
- [PyPi](https://pypi.org/project/cartopy) (📥 810K / month · 📦 970 · ⏱️ 01.08.2025):
```
pip install cartopy
```
- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 5.6M · ⏱️ 27.10.2025):
```
conda install -c conda-forge cartopy
```
</details>
<details><summary><b><a href="https://github.com/vispy/vispy">VisPy</a></b> (🥈34 · ⭐ 3.5K · 📉) - High-performance interactive 2D/3D data visualization library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/vispy/vispy) (👨💻 210 · 🔀 620 · 📦 2.1K · 📋 1.5K - 25% open · ⏱️ 13.10.2025):
```
git clone https://github.com/vispy/vispy
```
- [PyPi](https://pypi.org/project/vispy) (📥 190K / month · 📦 200 · ⏱️ 19.05.2025):
```
pip install vispy
```
- [Conda](https://anaconda.org/conda-forge/vispy) (📥 980K · ⏱️ 30.08.2025):
```
conda install -c conda-forge vispy
```
- [npm](https://www.npmjs.com/package/vispy) (📥 12 / month · 📦 3 · ⏱️ 15.03.2020):
```
npm install vispy
```
</details>
<details><summary><b><a href="https://github.com/holoviz/datashader">datashader</a></b> (🥈34 · ⭐ 3.5K) - Quickly and accurately render even the largest data. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/holoviz/datashader) (👨💻 63 · 🔀 380 · 📦 6.3K · 📋 620 - 24% open · ⏱️ 09.10.2025):
```
git clone https://github.com/holoviz/datashader
```
- [PyPi](https://pypi.org/project/datashader) (📥 280K / month · 📦 250 · ⏱️ 05.08.2025):
```
pip install datashader
```
- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.6M · ⏱️ 05.08.2025):
```
conda install -c conda-forge datashader
```
</details>
<details><summary><b><a href="https://github.com/JetBrains/lets-plot">lets-plot</a></b> (🥈34 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 21 · 🔀 54 · 📥 3.4K · 📦 190 · 📋 740 - 21% open · ⏱️ 30.10.2025):
```
git clone https://github.com/JetBrains/lets-plot
```
- [PyPi](https://pypi.org/project/lets-plot) (📥 120K / month · 📦 16 · ⏱️ 12.09.2025):
```
pip install lets-plot
```
</details>
<details><summary><b><a href="https://github.com/amueller/word_cloud">wordcloud</a></b> (🥈33 · ⭐ 10K) - A little word cloud generator in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/amueller/word_cloud) (👨💻 75 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 31.08.2025):
```
git clone https://github.com/amueller/word_cloud
```
- [PyPi](https://pypi.org/project/wordcloud) (📥 2M / month · 📦 550 · ⏱️ 10.11.2024):
```
pip install wordcloud
```
- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 790K · ⏱️ 03.09.2025):
```
conda install -c conda-forge wordcloud
```
</details>
<details><summary><b><a href="https://github.com/perspective-dev/perspective">Perspective</a></b> (🥈33 · ⭐ 9.5K) - A data visualization and analytics component, especially.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/perspective-dev/perspective) (👨💻 100 · 🔀 1.2K · 📥 12K · 📦 190 · 📋 890 - 12% open · ⏱️ 29.10.2025):
```
git clone https://github.com/finos/perspective
```
- [PyPi](https://pypi.org/project/perspective-python) (📥 17K / month · 📦 31 · ⏱️ 28.10.2025):
```
pip install perspective-python
```
- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.4M · ⏱️ 28.10.2025):
```
conda install -c conda-forge perspective
```
- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 600 / month · 📦 6 · ⏱️ 03.09.2025):
```
npm install @finos/perspective-jupyterlab
```
</details>
<details><summary><b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (🥈33 · ⭐ 8K) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/lmcinnes/umap) (👨💻 140 · 🔀 850 · 📦 1 · 📋 860 - 59% open · ⏱️ 26.10.2025):
```
git clone https://github.com/lmcinnes/umap
```
- [PyPi](https://pypi.org/project/umap-learn) (📥 2.7M / month · 📦 1.3K · ⏱️ 03.07.2025):
```
pip install umap-learn
```
- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3.2M · ⏱️ 03.07.2025):
```
conda install -c conda-forge umap-learn
```
</details>
<details><summary><b><a href="https://github.com/holoviz/hvplot">hvPlot</a></b> (🥈32 · ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/holoviz/hvplot) (👨💻 52 · 🔀 110 · 📦 7.3K · 📋 940 - 41% open · ⏱️ 24.10.2025):
```
git clone https://github.com/holoviz/hvplot
```
- [PyPi](https://pypi.org/project/hvplot) (📥 310K / month · 📦 270 · ⏱️ 29.08.2025):
```
pip install hvplot
```
- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 860K · ⏱️ 04.09.2025):
```
conda install -c conda-forge hvplot
```
</details>
<details><summary><b><a href="https://github.com/mpld3/mpld3">mpld3</a></b> (🥉31 · ⭐ 2.4K · 📉) - An interactive data visualization tool which brings matplotlib.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/mpld3/mpld3) (👨💻 54 · 🔀 360 · 📦 7.6K · 📋 370 - 59% open · ⏱️ 27.07.2025):
```
git clone https://github.com/mpld3/mpld3
```
- [PyPi](https://pypi.org/project/mpld3) (📥 440K / month · 📦 160 · ⏱️ 27.07.2025):
```
pip install mpld3
```
- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 280K · ⏱️ 28.07.2025):
```
conda install -c conda-forge mpld3
```
- [npm](https://www.npmjs.com/package/mpld3) (📥 900 / month · 📦 11 · ⏱️ 27.07.2025):
```
npm install mpld3
```
</details>
<details><summary><b><a href="https://github.com/bqplot/bqplot">bqplot</a></b> (🥉30 · ⭐ 3.7K) - Plotting library for IPython/Jupyter notebooks. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/bqplot/bqplot) (👨💻 66 · 🔀 480 · 📦 62 · 📋 650 - 42% open · ⏱️ 25.08.2025):
```
git clone https://github.com/bqplot/bqplot
```
- [PyPi](https://pypi.org/project/bqplot) (📥 230K / month · 📦 110 · ⏱️ 21.05.2025):
```
pip install bqplot
```
- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.9M · ⏱️ 02.09.2025):
```
conda install -c conda-forge bqplot
```
- [npm](https://www.npmjs.com/package/bqplot) (📥 3K / month · 📦 21 · ⏱️ 03.09.2025):
```
npm install bqplot
```
</details>
<details><summary><b><a href="https://github.com/man-group/dtale">D-Tale</a></b> (🥉29 · ⭐ 5K) - Visualizer for pandas data structures. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">❗️LGPL-2.1</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/man-group/dtale) (👨💻 31 · 🔀 430 · 📦 1.5K · 📋 610 - 10% open · ⏱️ 30.07.2025):
```
git clone https://github.com/man-group/dtale
```
- [PyPi](https://pypi.org/project/dtale) (📥 31K / month · 📦 53 · ⏱️ 30.07.2025):
```
pip install dtale
```
- [Conda](https://anaconda.org/conda-forge/dtale) (📥 480K · ⏱️ 30.07.2025):
```
conda install -c conda-forge dtale
```
</details>
<details><summary><b><a href="https://github.com/pavlin-policar/openTSNE">openTSNE</a></b> (🥉29 · ⭐ 1.6K · 📈) - Extensible, parallel implementations of t-SNE. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 14 · 🔀 170 · 📦 1.1K · 📋 150 - 2% open · ⏱️ 27.10.2025):
```
git clone https://github.com/pavlin-policar/openTSNE
```
- [PyPi](https://pypi.org/project/opentsne) (📥 58K / month · 📦 69 · ⏱️ 27.10.2025):
```
pip install opentsne
```
- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 500K · ⏱️ 27.10.2025):
```
conda install -c conda-forge opentsne
```
</details>
<details><summary><b><a href="https://github.com/predict-idlab/plotly-resampler">Plotly-Resampler</a></b> (🥉27 · ⭐ 1.2K) - Visualize large time series data with plotly.py. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 14 · 🔀 74 · 📦 2K · 📋 190 - 32% open · ⏱️ 03.09.2025):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
- [PyPi](https://pypi.org/project/plotly-resampler) (📥 370K / month · 📦 38 · ⏱️ 29.08.2025):
```
pip install plotly-resampler
```
- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 140K · ⏱️ 09.10.2025):
```
conda install -c conda-forge plotly-resampler
```
</details>
<details><summary><b><a href="https://github.com/ContextLab/hypertools">HyperTools</a></b> (🥉26 · ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 23 · 🔀 160 · 📥 73 · 📦 510 · 📋 200 - 34% open · ⏱️ 10.07.2025):
```
git clone https://github.com/ContextLab/hypertools
```
- [PyPi](https://pypi.org/project/hypertools) (📥 1.1K / month · 📦 2 · ⏱️ 09.07.2025):
```
pip install hypertools
```
</details>
<details><summary><b><a href="https://github.com/tensorflow/data-validation">data-validation</a></b> (🥉25 · ⭐ 780) - Library for exploring and validating machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 30 · 🔀 180 · 📥 1K · 📋 190 - 20% open · ⏱️ 23.06.2025):
```
git clone https://github.com/tensorflow/data-validation
```
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 150K / month · 📦 32 · ⏱️ 09.06.2025):
```
pip install tensorflow-data-validation
```
</details>
<details><summary><b><a href="https://github.com/spotify/chartify">Chartify</a></b> (🥉24 · ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/spotify/chartify) (👨💻 27 · 🔀 340 · 📦 83 · 📋 86 - 62% open · ⏱️ 16.10.2024):
```
git clone https://github.com/spotify/chartify
```
- [PyPi](https://pypi.org/project/chartify) (📥 1.2K / month · 📦 9 · ⏱️ 16.10.2024):
```
pip install chartify
```
- [Conda](https://anaconda.org/conda-forge/chartify) (📥 40K · ⏱️ 22.04.2025):
```
conda install -c conda-forge chartify
```
</details>
<details><summary><b><a href="https://github.com/ing-bank/popmon">Popmon</a></b> (🥉22 · ⭐ 510) - Monitor the stability of a Pandas or Spark dataframe. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/ing-bank/popmon) (👨💻 19 · 🔀 36 · 📥 280 · 📦 22 · 📋 57 - 28% open · ⏱️ 04.09.2025):
```
git clone https://github.com/ing-bank/popmon
```
- [PyPi](https://pypi.org/project/popmon) (📥 3.4K / month · 📦 4 · ⏱️ 04.09.2025):
```
pip install popmon
```
</details>
<details><summary><b><a href="https://github.com/vega/ipyvega">vega</a></b> (🥉22 · ⭐ 390 · 💤) - IPython/Jupyter notebook module for Vega and Vega-Lite. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/vega/ipyvega) (👨💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):
```
git clone https://github.com/vega/ipyvega
```
- [PyPi](https://pypi.org/project/vega) (📥 26K / month · 📦 17 · ⏱️ 25.09.2024):
```
pip install vega
```
- [Conda](https://anaconda.org/conda-forge/vega) (📥 940K · ⏱️ 04.10.2025):
```
conda install -c conda-forge vega
```
</details>
<details><summary><b><a href="https://github.com/vega/vegafusion">vegafusion</a></b> (🥉21 · ⭐ 390) - Serverside scaling for Vega and Altair visualizations. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/vega/vegafusion) (👨💻 6 · 🔀 26 · 📥 6.6K · 📋 150 - 36% open · ⏱️ 29.09.2025):
```
git clone https://github.com/vegafusion/vegafusion
```
- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 770 / month · 📦 2 · ⏱️ 09.05.2024):
```
pip install vegafusion-jupyter
```
- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 520K · ⏱️ 27.10.2025):
```
conda install -c conda-forge vegafusion-python-embed
```
- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 1.9K / month · 📦 3 · ⏱️ 09.05.2024):
```
npm install vegafusion-jupyter
```
</details>
<details><summary>Show 22 hidden projects...</summary>
- <b><a href="https://github.com/ResidentMario/missingno">missingno</a></b> (🥉30 · ⭐ 4.2K · 💀) - Missing data visualization module for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/PAIR-code/facets">Facets Overview</a></b> (🥉28 · ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/santosjorge/cufflinks">Cufflinks</a></b> (🥉28 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/jupyter-widgets/pythreejs">pythreejs</a></b> (🥉27 · ⭐ 980 · 💀) - A Jupyter - Three.js bridge. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/fbdesignpro/sweetviz">Sweetviz</a></b> (🥉26 · ⭐ 3.1K · 💀) - Visualize and compare datasets, target values and associations, with.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/AutoViML/AutoViz">AutoViz</a></b> (🥉26 · ⭐ 1.9K · 💀) - Automatically Visualize any dataset, any size with a single line.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/tpvasconcelos/ridgeplot">ridgeplot</a></b> (🥉26 · ⭐ 240) - Beautiful ridgeline plots in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/adamerose/PandasGUI">PandasGUI</a></b> (🥉24 · ⭐ 3.3K) - A GUI for Pandas DataFrames. <code><a href="https://tldrlegal.com/search?q=MIT-0">❗️MIT-0</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/hiplot">HiPlot</a></b> (🥉24 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/marcharper/python-ternary">python-ternary</a></b> (🥉24 · ⭐ 770 · 💀) - Ternary plotting library for python with matplotlib. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/DmitryUlyanov/Multicore-TSNE">Multicore-TSNE</a></b> (🥉23 · ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/PatrikHlobil/Pandas-Bokeh">Pandas-Bokeh</a></b> (🥉22 · ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/nicolaskruchten/jupyter_pivottablejs">pivottablejs</a></b> (🥉21 · ⭐ 710 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/leotac/joypy">joypy</a></b> (🥉21 · ⭐ 600 · 💀) - Joyplots in Python with matplotlib & pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/gyli/PyWaffle">PyWaffle</a></b> (🥉21 · ⭐ 600 · 💀) - Make Waffle Charts in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/sosuneko/PDPbox">PDPbox</a></b> (🥉20 · ⭐ 860 · 💀) - python partial dependence plot toolbox. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/t-makaro/animatplot">animatplot</a></b> (🥉18 · ⭐ 410 · 💀) - A python package for animating plots build on matplotlib. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/beringresearch/ivis">ivis</a></b> (🥉18 · ⭐ 340 · 💀) - Dimensionality reduction in very large datasets using Siamese.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/altair-viz/pdvega">pdvega</a></b> (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/Zsailer/nx_altair">nx-altair</a></b> (🥉16 · ⭐ 230 · 💀) - Draw interactive NetworkX graphs with Altair. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/data-describe/data-describe">data-describe</a></b> (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/biovault/nptsne">nptsne</a></b> (🥉11 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
</details>
<br>
## Text Data & NLP
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
<details><summary><b><a href="https://github.com/huggingface/transformers">transformers</a></b> (🥇54 · ⭐ 150K) - Transformers: the model-definition framework for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/huggingface/transformers) (👨💻 3.6K · 🔀 31K · 📦 400K · 📋 19K - 11% open · ⏱️ 30.10.2025):
```
git clone https://github.com/huggingface/transformers
```
- [PyPi](https://pypi.org/project/transformers) (📥 93M / month · 📦 11K · ⏱️ 14.10.2025):
```
pip install transformers
```
- [Conda](https://anaconda.org/conda-forge/transformers) (📥 3.3M · ⏱️ 14.10.2025):
```
conda install -c conda-forge transformers
```
</details>
<details><summary><b><a href="https://github.com/nltk/nltk">nltk</a></b> (🥇47 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/nltk/nltk) (👨💻 480 · 🔀 3K · 📦 410K · 📋 1.9K - 14% open · ⏱️ 22.10.2025):
```
git clone https://github.com/nltk/nltk
```
- [PyPi](https://pypi.org/project/nltk) (📥 42M / month · 📦 6.3K · ⏱️ 01.10.2025):
```
pip install nltk
```
- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.4M · ⏱️ 01.10.2025):
```
conda install -c conda-forge nltk
```
</details>
<details><summary><b><a href="https://github.com/BerriAI/litellm">litellm</a></b> (🥇45 · ⭐ 30K · 📉) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>o</code> <code>t</code> <code>h</code> <code>e</code> <code>r</code> <code>s</code></summary>
- [GitHub](https://github.com/BerriAI/litellm) (👨💻 960 · 🔀 4.5K · 📥 800 · 📦 17K · 📋 7.8K - 17% open · ⏱️ 30.10.2025):
```
git clone https://github.com/BerriAI/litellm
```
- [PyPi](https://pypi.org/project/litellm) (📥 34M / month · 📦 1.9K · ⏱️ 29.10.2025):
```
pip install litellm
```
</details>
<details><summary><b><a href="https://github.com/explosion/spaCy">spaCy</a></b> (🥇43 · ⭐ 33K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/explosion/spaCy) (👨💻 780 · 🔀 4.5K · 📥 4.9K · 📦 140K · 📋 5.8K - 3% open · ⏱️ 28.10.2025):
```
git clone https://github.com/explosion/spaCy
```
- [PyPi](https://pypi.org/project/spacy) (📥 17M / month · 📦 3.2K · ⏱️ 23.05.2025):
```
pip install spacy
```
- [Conda](https://anaconda.org/conda-forge/spacy) (📥 6.5M · ⏱️ 06.07.2025):
```
conda install -c conda-forge spacy
```
</details>
<details><summary><b><a href="https://github.com/huggingface/sentence-transformers">sentence-transformers</a></b> (🥇42 · ⭐ 18K) - State-of-the-Art Text Embeddings. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/huggingface/sentence-transformers) (👨💻 240 · 🔀 2.7K · 📦 120K · 📋 2.5K - 51% open · ⏱️ 22.10.2025):
```
git clone https://github.com/UKPLab/sentence-transformers
```
- [PyPi](https://pypi.org/project/sentence-transformers) (📥 17M / month · 📦 3.7K · ⏱️ 22.10.2025):
```
pip install sentence-transformers
```
- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 1M · ⏱️ 22.10.2025):
```
conda install -c conda-forge sentence-transformers
```
</details>
<details><summary><b><a href="https://github.com/piskvorky/gensim">gensim</a></b> (🥇42 · ⭐ 16K) - Topic Modelling for Humans. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">❗️LGPL-2.1</a></code></summary>
- [GitHub](https://github.com/piskvorky/gensim) (👨💻 460 · 🔀 4.4K · 📥 6.4K · 📦 78K · 📋 1.9K - 21% open · ⏱️ 16.10.2025):
```
git clone https://github.com/RaRe-Technologies/gensim
```
- [PyPi](https://pypi.org/project/gensim) (📥 5.2M / month · 📦 1.6K · ⏱️ 18.10.2025):
```
pip install gensim
```
- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.8M · ⏱️ 22.04.2025):
```
conda install -c conda-forge gensim
```
</details>
<details><summary><b><a href="https://github.com/google/sentencepiece">sentencepiece</a></b> (🥇42 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/google/sentencepiece) (👨💻 100 · 🔀 1.3K · 📥 110K · 📦 120K · 📋 800 - 3% open · ⏱️ 04.10.2025):
```
git clone https://github.com/google/sentencepiece
```
- [PyPi](https://pypi.org/project/sentencepiece) (📥 31M / month · 📦 2.4K · ⏱️ 12.08.2025):
```
pip install sentencepiece
```
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.7M · ⏱️ 22.09.2025):
```
conda install -c conda-forge sentencepiece
```
</details>
<details><summary><b><a href="https://github.com/huggingface/tokenizers">Tokenizers</a></b> (🥇40 · ⭐ 10K) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 130 · 🔀 970 · 📥 86 · 📦 180K · 📋 1.1K - 9% open · ⏱️ 16.10.2025):
```
git clone https://github.com/huggingface/tokenizers
```
- [PyPi](https://pypi.org/project/tokenizers) (📥 81M / month · 📦 1.7K · ⏱️ 19.09.2025):
```
pip install tokenizers
```
- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3.6M · ⏱️ 19.09.2025):
```
conda install -c conda-forge tokenizers
```
</details>
<details><summary><b><a href="https://github.com/NVIDIA-NeMo/NeMo">NeMo</a></b> (🥇38 · ⭐ 16K) - A scalable generative AI framework built for researchers and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/NVIDIA-NeMo/NeMo) (👨💻 460 · 🔀 3.2K · 📥 520K · 📦 21 · 📋 2.8K - 4% open · ⏱️ 29.10.2025):
```
git clone https://github.com/NVIDIA/NeMo
```
- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 810K / month · 📦 18 · ⏱️ 27.10.2025):
```
pip install nemo-toolkit
```
</details>
<details><summary><b><a href="https://github.com/deepset-ai/haystack">haystack</a></b> (🥇37 · ⭐ 23K) - AI orchestration framework to build customizable, production-ready.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 310 · 🔀 2.5K · 📦 1.3K · 📋 4.1K - 2% open · ⏱️ 30.10.2025):
```
git clone https://github.com/deepset-ai/haystack
```
- [PyPi](https://pypi.org/project/haystack) (📥 7.4K / month · 📦 5 · ⏱️ 15.12.2021):
```
pip install haystack
```
</details>
<details><summary><b><a href="https://github.com/comet-ml/opik">Opik</a></b> (🥇37 · ⭐ 15K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/comet-ml/opik) (👨💻 81 · 🔀 1.1K · 📦 17 · 📋 540 - 29% open · ⏱️ 30.10.2025):
```
git clone https://github.com/comet-ml/opik
```
- [PyPi](https://pypi.org/project/opik) (📥 850K / month · 📦 34 · ⏱️ 29.10.2025):
```
pip install opik
```
</details>
<details><summary><b><a href="https://github.com/gunthercox/ChatterBot">ChatterBot</a></b> (🥇37 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/gunthercox/ChatterBot) (👨💻 110 · 🔀 4.5K · 📦 6.5K · 📋 1.7K - 6% open · ⏱️ 25.10.2025):
```
git clone https://github.com/gunthercox/ChatterBot
```
- [PyPi](https://pypi.org/project/chatterbot) (📥 20K / month · 📦 19 · ⏱️ 16.10.2025):
```
pip install chatterbot
```
</details>
<details><summary><b><a href="https://github.com/flairNLP/flair">flair</a></b> (🥇37 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/flairNLP/flair) (👨💻 280 · 🔀 2.1K · 📦 4.1K · 📋 2.4K - 1% open · ⏱️ 12.06.2025):
```
git clone https://github.com/flairNLP/flair
```
- [PyPi](https://pypi.org/project/flair) (📥 180K / month · 📦 160 · ⏱️ 05.02.2025):
```
pip install flair
```
- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 49K · ⏱️ 22.04.2025):
```
conda install -c conda-forge python-flair
```
</details>
<details><summary><b><a href="https://github.com/sloria/TextBlob">TextBlob</a></b> (🥇37 · ⭐ 9.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/sloria/TextBlob) (👨💻 37 · 🔀 1.2K · 📥 140 · 📦 60K · 📋 280 - 25% open · ⏱️ 18.10.2025):
```
git clone https://github.com/sloria/TextBlob
```
- [PyPi](https://pypi.org/project/textblob) (📥 1.5M / month · 📦 400 · ⏱️ 13.01.2025):
```
pip install textblob
```
- [Conda](https://anaconda.org/conda-forge/textblob) (📥 340K · ⏱️ 22.04.2025):
```
conda install -c conda-forge textblob
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/fairseq">fairseq</a></b> (🥈36 · ⭐ 32K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 430 · 🔀 6.6K · 📥 440 · 📦 4.4K · 📋 4.4K - 30% open · ⏱️ 30.09.2025):
```
git clone https://github.com/facebookresearch/fairseq
```
- [PyPi](https://pypi.org/project/fairseq) (📥 77K / month · 📦 120 · ⏱️ 27.06.2022):
```
pip install fairseq
```
- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 170K · ⏱️ 02.10.2025):
```
conda install -c conda-forge fairseq
```
</details>
<details><summary><b><a href="https://github.com/stanfordnlp/stanza">stanza</a></b> (🥈36 · ⭐ 7.6K) - Stanford NLP Python library for tokenization, sentence segmentation,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 72 · 🔀 920 · 📦 4.1K · 📋 950 - 10% open · ⏱️ 05.10.2025):
```
git clone https://github.com/stanfordnlp/stanza
```
- [PyPi](https://pypi.org/project/stanza) (📥 770K / month · 📦 240 · ⏱️ 05.10.2025):
```
pip install stanza
```
- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 9K · ⏱️ 25.03.2025):
```
conda install -c stanfordnlp stanza
```
</details>
<details><summary><b><a href="https://github.com/qdrant/qdrant">qdrant</a></b> (🥈35 · ⭐ 27K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/qdrant/qdrant) (👨💻 140 · 🔀 1.9K · 📥 500K · 📦 120 · 📋 1.6K - 22% open · ⏱️ 30.09.2025):
```
git clone https://github.com/qdrant/qdrant
```
</details>
<details><summary><b><a href="https://github.com/JohnSnowLabs/spark-nlp">spark-nlp</a></b> (🥈35 · ⭐ 4.1K) - State of the Art Natural Language Processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 120 · 🔀 730 · 📦 620 · 📋 910 - 2% open · ⏱️ 22.10.2025):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
- [PyPi](https://pypi.org/project/spark-nlp) (📥 1M / month · 📦 39 · ⏱️ 22.10.2025):
```
pip install spark-nlp
```
</details>
<details><summary><b><a href="https://github.com/RasaHQ/rasa">Rasa</a></b> (🥈34 · ⭐ 21K) - Open source machine learning framework to automate text- and voice-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 600 · 🔀 4.9K · 📋 6.8K - 2% open · ⏱️ 26.08.2025):
```
git clone https://github.com/RasaHQ/rasa
```
- [PyPi](https://pypi.org/project/rasa) (📥 110K / month · 📦 60 · ⏱️ 14.01.2025):
```
pip install rasa
```
</details>
<details><summary><b><a href="https://github.com/tensorflow/text">TensorFlow Text</a></b> (🥈34 · ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/tensorflow/text) (👨💻 190 · 🔀 360 · 📦 10K · 📋 370 - 53% open · ⏱️ 18.08.2025):
```
git clone https://github.com/tensorflow/text
```
- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.8M / month · 📦 230 · ⏱️ 04.04.2025):
```
pip install tensorflow-text
```
</details>
<details><summary><b><a href="https://github.com/snowballstem/snowball">snowballstemmer</a></b> (🥈34 · ⭐ 810) - Snowball compiler and stemming algorithms. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/snowballstem/snowball) (👨💻 41 · 🔀 190 · 📦 11 · 📋 120 - 17% open · ⏱️ 28.10.2025):
```
git clone https://github.com/snowballstem/snowball
```
- [PyPi](https://pypi.org/project/snowballstemmer) (📥 24M / month · 📦 550 · ⏱️ 09.05.2025):
```
pip install snowballstemmer
```
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 11M · ⏱️ 20.05.2025):
```
conda install -c conda-forge snowballstemmer
```
</details>
<details><summary><b><a href="https://github.com/pytorch/text">torchtext</a></b> (🥈32 · ⭐ 3.6K) - Models, data loaders and abstractions for language processing,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pytorch/text) (👨💻 160 · 🔀 810 · 📋 850 - 38% open · ⏱️ 10.09.2025):
```
git clone https://github.com/pytorch/text
```
- [PyPi](https://pypi.org/project/torchtext) (📥 730K / month · 📦 280 · ⏱️ 24.04.2024):
```
pip install torchtext
```
</details>
<details><summary><b><a href="https://github.com/jamesturk/jellyfish">jellyfish</a></b> (🥈32 · ⭐ 2.2K) - a python library for doing approximate and phonetic matching of strings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 37 · 🔀 160 · 📦 15K · ⏱️ 11.10.2025):
```
git clone https://github.com/jamesturk/jellyfish
```
- [PyPi](https://pypi.org/project/jellyfish) (📥 8.6M / month · 📦 320 · ⏱️ 11.10.2025):
```
pip install jellyfish
```
- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.7M · ⏱️ 22.04.2025):
```
conda install -c conda-forge jellyfish
```
</details>
<details><summary><b><a href="https://github.com/deeppavlov/DeepPavlov">DeepPavlov</a></b> (🥈31 · ⭐ 6.9K · 💤) - An open source library for deep learning end-to-end.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 78 · 🔀 1.2K · 📦 440 · 📋 640 - 4% open · ⏱️ 26.11.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
- [PyPi](https://pypi.org/project/deeppavlov) (📥 11K / month · 📦 4 · ⏱️ 12.08.2024):
```
pip install deeppavlov
```
</details>
<details><summary><b><a href="https://github.com/rspeer/python-ftfy">ftfy</a></b> (🥈31 · ⭐ 4K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 22 · 🔀 120 · 📥 100 · 📦 33K · 📋 150 - 7% open · ⏱️ 30.10.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
- [PyPi](https://pypi.org/project/ftfy) (📥 11M / month · 📦 570 · ⏱️ 26.10.2024):
```
pip install ftfy
```
- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 380K · ⏱️ 22.04.2025):
```
conda install -c conda-forge ftfy
```
</details>
<details><summary><b><a href="https://github.com/allenai/scispacy">SciSpacy</a></b> (🥈31 · ⭐ 1.9K) - A full spaCy pipeline and models for scientific/biomedical documents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/allenai/scispacy) (👨💻 38 · 🔀 240 · 📦 1.3K · 📋 330 - 11% open · ⏱️ 01.10.2025):
```
git clone https://github.com/allenai/scispacy
```
- [PyPi](https://pypi.org/project/scispacy) (📥 42K / month · 📦 50 · ⏱️ 01.10.2025):
```
pip install scispacy
```
</details>
<details><summary><b><a href="https://github.com/cltk/cltk">CLTK</a></b> (🥈31 · ⭐ 870 · 📉) - The Classical Language Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 340 · 📥 160 · 📦 300 · 📋 580 - 0% open · ⏱️ 21.10.2025):
```
git clone https://github.com/cltk/cltk
```
- [PyPi](https://pypi.org/project/cltk) (📥 14K / month · 📦 17 · ⏱️ 21.10.2025):
```
pip install cltk
```
</details>
<details><summary><b><a href="https://github.com/dwyl/english-words">english-words</a></b> (🥈29 · ⭐ 12K · 💤) - A text file containing 479k English words for all your.. <code><a href="http://bit.ly/3rvuUlR">Unlicense</a></code></summary>
- [GitHub](https://github.com/dwyl/english-words) (👨💻 34 · 🔀 2K · 📦 2 · 📋 170 - 75% open · ⏱️ 06.01.2025):
```
git clone https://github.com/dwyl/english-words
```
- [PyPi](https://pypi.org/project/english-words) (📥 78K / month · 📦 15 · ⏱️ 14.08.2025):
```
pip install english-words
```
</details>
<details><summary><b><a href="https://github.com/argilla-io/argilla">rubrix</a></b> (🥈29 · ⭐ 4.7K) - Argilla is a collaboration tool for AI engineers and domain experts.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/argilla-io/argilla) (👨💻 110 · 🔀 460 · 📦 3.1K · 📋 2.2K - 0% open · ⏱️ 05.08.2025):
```
git clone https://github.com/recognai/rubrix
```
- [PyPi](https://pypi.org/project/rubrix) (📥 1.2K / month · ⏱️ 24.10.2022):
```
pip install rubrix
```
- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 52K · ⏱️ 22.04.2025):
```
conda install -c conda-forge rubrix
```
</details>
<details><summary><b><a href="https://github.com/dedupeio/dedupe">Dedupe</a></b> (🥈29 · ⭐ 4.4K · 📈) - A python library for accurate and scalable fuzzy matching, record.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 72 · 🔀 560 · 📦 370 · 📋 820 - 9% open · ⏱️ 29.07.2025):
```
git clone https://github.com/dedupeio/dedupe
```
- [PyPi](https://pypi.org/project/dedupe) (📥 59K / month · 📦 19 · ⏱️ 15.08.2024):
```
pip install dedupe
```
- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 130K · ⏱️ 22.04.2025):
```
conda install -c conda-forge dedupe
```
</details>
<details><summary><b><a href="https://github.com/life4/textdistance">TextDistance</a></b> (🥈28 · ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/life4/textdistance) (👨💻 18 · 🔀 260 · 📥 1.1K · 📦 8.8K · ⏱️ 18.04.2025):
```
git clone https://github.com/life4/textdistance
```
- [PyPi](https://pypi.org/project/textdistance) (📥 1.3M / month · 📦 99 · ⏱️ 16.07.2024):
```
pip install textdistance
```
- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 970K · ⏱️ 22.04.2025):
```
conda install -c conda-forge textdistance
```
</details>
<details><summary><b><a href="https://github.com/explosion/spacy-transformers">spacy-transformers</a></b> (🥈28 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code></summary>
- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 23 · 🔀 170 · 📥 610 · 📦 2.4K · ⏱️ 26.05.2025):
```
git clone https://github.com/explosion/spacy-transformers
```
- [PyPi](https://pypi.org/project/spacy-transformers) (📥 270K / month · 📦 110 · ⏱️ 26.05.2025):
```
pip install spacy-transformers
```
- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 140K · ⏱️ 22.04.2025):
```
conda install -c conda-forge spacy-transformers
```
</details>
<details><summary><b><a href="https://github.com/unitaryai/detoxify">detoxify</a></b> (🥉26 · ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 14 · 🔀 130 · 📥 1.9M · 📦 980 · 📋 67 - 55% open · ⏱️ 29.07.2025):
```
git clone https://github.com/unitaryai/detoxify
```
- [PyPi](https://pypi.org/project/detoxify) (📥 140K / month · 📦 30 · ⏱️ 01.02.2024):
```
pip install detoxify
```
</details>
<details><summary><b><a href="https://github.com/JasonKessler/scattertext">scattertext</a></b> (🥉25 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):
```
git clone https://github.com/JasonKessler/scattertext
```
- [PyPi](https://pypi.org/project/scattertext) (📥 7.5K / month · 📦 5 · ⏱️ 23.09.2024):
```
pip install scattertext
```
- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 140K · ⏱️ 22.04.2025):
```
conda install -c conda-forge scattertext
```
</details>
<details><summary><b><a href="https://github.com/google-research/text-to-text-transfer-transformer">T5</a></b> (🥉24 · ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 61 · 🔀 780 · 📋 450 - 23% open · ⏱️ 28.04.2025):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
- [PyPi](https://pypi.org/project/t5) (📥 83K / month · 📦 2 · ⏱️ 18.10.2021):
```
pip install t5
```
</details>
<details><summary><b><a href="https://github.com/zjunlp/DeepKE">DeepKE</a></b> (🥉24 · ⭐ 4.2K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 34 · 🔀 730 · 📦 25 · ⏱️ 19.07.2025):
```
git clone https://github.com/zjunlp/deepke
```
- [PyPi](https://pypi.org/project/deepke) (📥 950 / month · ⏱️ 21.09.2023):
```
pip install deepke
```
</details>
<details><summary><b><a href="https://github.com/explosion/sense2vec">sense2vec</a></b> (🥉24 · ⭐ 1.7K) - Contextually-keyed word vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/explosion/sense2vec) (👨💻 20 · 🔀 240 · 📥 73K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):
```
git clone https://github.com/explosion/sense2vec
```
- [PyPi](https://pypi.org/project/sense2vec) (📥 3.4K / month · 📦 13 · ⏱️ 19.04.2021):
```
pip install sense2vec
```
- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 67K · ⏱️ 22.04.2025):
```
conda install -c conda-forge sense2vec
```
</details>
<details><summary><b><a href="https://github.com/IndicoDataSolutions/finetune">finetune</a></b> (🥉23 · ⭐ 720) - Scikit-learn style model finetuning for NLP. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 24 · 🔀 79 · 📦 16 · 📋 190 - 39% open · ⏱️ 21.10.2025):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
- [PyPi](https://pypi.org/project/finetune) (📥 2.7K / month · 📦 2 · ⏱️ 29.09.2023):
```
pip install finetune
```
</details>
<details><summary><b><a href="https://github.com/EricFillion/happy-transformer">happy-transformer</a></b> (🥉23 · ⭐ 540 · 💤) - Happy Transformer makes it easy to fine-tune and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary>
- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 69 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):
```
git clone https://github.com/EricFillion/happy-transformer
```
- [PyPi](https://pypi.org/project/happytransformer) (📥 2.7K / month · 📦 5 · ⏱️ 05.08.2023):
```
pip install happytransformer
```
</details>
<details><summary><b><a href="https://github.com/awslabs/sockeye">Sockeye</a></b> (🥉21 · ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):
```
git clone https://github.com/awslabs/sockeye
```
- [PyPi](https://pypi.org/project/sockeye) (📥 580 / month · ⏱️ 03.03.2023):
```
pip install sockeye
```
</details>
<details><summary><b><a href="https://github.com/unum-cloud/UForm">UForm</a></b> (🥉21 · ⭐ 1.2K) - Pocket-Sized Multimodal AI for content understanding and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/unum-cloud/UForm) (👨💻 21 · 🔀 76 · 📥 710 · 📦 36 · 📋 39 - 38% open · ⏱️ 03.09.2025):
```
git clone https://github.com/unum-cloud/uform
```
- [PyPi](https://pypi.org/project/uform) (📥 490 / month · 📦 2 · ⏱️ 03.09.2025):
```
pip install uform
```
</details>
<details><summary><b><a href="https://github.com/webis-de/small-text">small-text</a></b> (🥉20 · ⭐ 630) - Active Learning for Text Classification in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/webis-de/small-text) (👨💻 10 · 🔀 76 · 📦 34 · 📋 74 - 28% open · ⏱️ 28.10.2025):
```
git clone https://github.com/webis-de/small-text
```
- [PyPi](https://pypi.org/project/small-text) (📥 390 / month · ⏱️ 17.08.2025):
```
pip install small-text
```
- [Conda](https://anaconda.org/conda-forge/small-text) (📥 19K · ⏱️ 17.08.2025):
```
conda install -c conda-forge small-text
```
</details>
<details><summary><b><a href="https://github.com/dsfsi/textaugment">textaugment</a></b> (🥉19 · ⭐ 430) - TextAugment: Text Augmentation Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/dsfsi/textaugment) (👨💻 10 · 🔀 60 · 📥 140 · 📦 180 · 📋 29 - 37% open · ⏱️ 09.09.2025):
```
git clone https://github.com/dsfsi/textaugment
```
- [PyPi](https://pypi.org/project/textaugment) (📥 4.2K / month · 📦 4 · ⏱️ 16.11.2023):
```
pip install textaugment
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/vizseq">VizSeq</a></b> (🥉15 · ⭐ 450) - An Analysis Toolkit for Natural Language Generation (Translation,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 24.06.2025):
```
git clone https://github.com/facebookresearch/vizseq
```
- [PyPi](https://pypi.org/project/vizseq) (📥 120 / month · ⏱️ 07.08.2020):
```
pip install vizseq
```
</details>
<details><summary>Show 59 hidden projects...</summary>
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- <b><a href="https://github.com/feedly/transfer-nlp">TransferNLP</a></b> (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/spring-media/headliner">Headliner</a></b> (🥉13 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/textvec/textvec">textvec</a></b> (🥉12 · ⭐ 200 · 💀) - Text vectorization tool to outperform TFIDF for classification.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/MartinoMensio/spacy-dbpedia-spotlight">spacy-dbpedia-spotlight</a></b> (🥉12 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code>
</details>
<br>
## Image Data
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
<details><summary><b><a href="https://github.com/python-pillow/Pillow">Pillow</a></b> (🥇49 · ⭐ 13K) - Python Imaging Library (Fork). <code><a href="https://tldrlegal.com/search?q=PIL">❗️PIL</a></code></summary>
- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 490 · 🔀 2.3K · 📦 2.4M · 📋 3.4K - 3% open · ⏱️ 27.10.2025):
```
git clone https://github.com/python-pillow/Pillow
```
- [PyPi](https://pypi.org/project/Pillow) (📥 220M / month · 📦 20K · ⏱️ 15.10.2025):
```
pip install Pillow
```
- [Conda](https://anaconda.org/conda-forge/pillow) (📥 62M · ⏱️ 28.10.2025):
```
conda install -c conda-forge pillow
```
</details>
<details><summary><b><a href="https://github.com/huggingface/pytorch-image-models">PyTorch Image Models</a></b> (🥇42 · ⭐ 36K) - The largest collection of PyTorch image encoders /.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 180 · 🔀 5.1K · 📥 8.4M · 📦 62K · 📋 1K - 4% open · ⏱️ 30.10.2025):
```
git clone https://github.com/rwightman/pytorch-image-models
```
- [PyPi](https://pypi.org/project/timm) (📥 11M / month · 📦 1.5K · ⏱️ 24.10.2025):
```
pip install timm
```
- [Conda](https://anaconda.org/conda-forge/timm) (📥 470K · ⏱️ 24.10.2025):
```
conda install -c conda-forge timm
```
</details>
<details><summary><b><a href="https://github.com/pytorch/vision">torchvision</a></b> (🥇42 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pytorch/vision) (👨💻 660 · 🔀 7.2K · 📥 41K · 📦 21 · 📋 3.8K - 30% open · ⏱️ 27.10.2025):
```
git clone https://github.com/pytorch/vision
```
- [PyPi](https://pypi.org/project/torchvision) (📥 26M / month · 📦 8.4K · ⏱️ 15.10.2025):
```
pip install torchvision
```
- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 3.1M · ⏱️ 23.10.2025):
```
conda install -c conda-forge torchvision
```
</details>
<details><summary><b><a href="https://github.com/Zulko/moviepy">MoviePy</a></b> (🥇42 · ⭐ 14K) - Video editing with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/Zulko/moviepy) (👨💻 190 · 🔀 1.9K · 📦 67K · 📋 1.7K - 3% open · ⏱️ 25.09.2025):
```
git clone https://github.com/Zulko/moviepy
```
- [PyPi](https://pypi.org/project/moviepy) (📥 4.3M / month · 📦 1.2K · ⏱️ 21.05.2025):
```
pip install moviepy
```
- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 360K · ⏱️ 22.04.2025):
```
conda install -c conda-forge moviepy
```
</details>
<details><summary><b><a href="https://github.com/kornia/kornia">Kornia</a></b> (🥇39 · ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/kornia/kornia) (👨💻 300 · 🔀 1.1K · 📥 2.2K · 📦 17K · 📋 1K - 32% open · ⏱️ 30.10.2025):
```
git clone https://github.com/kornia/kornia
```
- [PyPi](https://pypi.org/project/kornia) (📥 3M / month · 📦 340 · ⏱️ 08.05.2025):
```
pip install kornia
```
- [Conda](https://anaconda.org/conda-forge/kornia) (📥 260K · ⏱️ 08.05.2025):
```
conda install -c conda-forge kornia
```
</details>
<details><summary><b><a href="https://github.com/imageio/imageio">imageio</a></b> (🥇39 · ⭐ 1.7K) - Python library for reading and writing image data. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>
- [GitHub](https://github.com/imageio/imageio) (👨💻 130 · 🔀 330 · 📥 1.9K · 📦 180K · 📋 620 - 16% open · ⏱️ 24.10.2025):
```
git clone https://github.com/imageio/imageio
```
- [PyPi](https://pypi.org/project/imageio) (📥 36M / month · 📦 2.6K · ⏱️ 20.01.2025):
```
pip install imageio
```
- [Conda](https://anaconda.org/conda-forge/imageio) (📥 8.5M · ⏱️ 22.04.2025):
```
conda install -c conda-forge imageio
```
</details>
<details><summary><b><a href="https://github.com/serengil/deepface">deepface</a></b> (🥈38 · ⭐ 21K · 📉) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/serengil/deepface) (👨💻 96 · 🔀 2.8K · 📦 8.4K · 📋 1.2K - 0% open · ⏱️ 21.10.2025):
```
git clone https://github.com/serengil/deepface
```
- [PyPi](https://pypi.org/project/deepface) (📥 280K / month · 📦 78 · ⏱️ 05.08.2025):
```
pip install deepface
```
</details>
<details><summary><b><a href="https://github.com/deepinsight/insightface">InsightFace</a></b> (🥈37 · ⭐ 27K) - State-of-the-art 2D and 3D Face Analysis Project. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/deepinsight/insightface) (👨💻 67 · 🔀 5.7K · 📥 11M · 📦 4.8K · 📋 2.6K - 46% open · ⏱️ 27.09.2025):
```
git clone https://github.com/deepinsight/insightface
```
- [PyPi](https://pypi.org/project/insightface) (📥 350K / month · 📦 30 · ⏱️ 17.12.2022):
```
pip install insightface
```
</details>
<details><summary><b><a href="https://github.com/albumentations-team/albumentations">Albumentations</a></b> (🥈36 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 170 · 🔀 1.7K · 📋 1.5K - 14% open · ⏱️ 25.06.2025):
```
git clone https://github.com/albumentations-team/albumentations
```
- [PyPi](https://pypi.org/project/albumentations) (📥 4.6M / month · 📦 730 · ⏱️ 27.05.2025):
```
pip install albumentations
```
- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 340K · ⏱️ 28.05.2025):
```
conda install -c conda-forge albumentations
```
</details>
<details><summary><b><a href="https://github.com/opencv/opencv-python">opencv-python</a></b> (🥈36 · ⭐ 5.1K) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/opencv/opencv-python) (👨💻 56 · 🔀 950 · 📦 610K · 📋 890 - 19% open · ⏱️ 30.07.2025):
```
git clone https://github.com/opencv/opencv-python
```
- [PyPi](https://pypi.org/project/opencv-python) (📥 29M / month · 📦 15K · ⏱️ 07.07.2025):
```
pip install opencv-python
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/detectron2">detectron2</a></b> (🥈34 · ⭐ 34K) - Detectron2 is a platform for object detection, segmentation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 280 · 🔀 7.5K · 📦 2.6K · 📋 3.6K - 14% open · ⏱️ 27.10.2025):
```
git clone https://github.com/facebookresearch/detectron2
```
- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):
```
pip install detectron2
```
- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 820K · ⏱️ 02.06.2025):
```
conda install -c conda-forge detectron2
```
</details>
<details><summary><b><a href="https://github.com/emcconville/wand">Wand</a></b> (🥈34 · ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/emcconville/wand) (👨💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 440 - 5% open · ⏱️ 06.10.2025):
```
git clone https://github.com/emcconville/wand
```
- [PyPi](https://pypi.org/project/wand) (📥 2.2M / month · 📦 260 · ⏱️ 03.11.2023):
```
pip install wand
```
- [Conda](https://anaconda.org/conda-forge/wand) (📥 180K · ⏱️ 22.04.2025):
```
conda install -c conda-forge wand
```
</details>
<details><summary><b><a href="https://github.com/JohannesBuchner/imagehash">ImageHash</a></b> (🥈32 · ⭐ 3.7K) - A Python Perceptual Image Hashing Module. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary>
- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 29 · 🔀 340 · 📦 18K · 📋 150 - 15% open · ⏱️ 17.04.2025):
```
git clone https://github.com/JohannesBuchner/imagehash
```
- [PyPi](https://pypi.org/project/ImageHash) (📥 5.6M / month · 📦 270 · ⏱️ 01.02.2025):
```
pip install ImageHash
```
- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 500K · ⏱️ 22.04.2025):
```
conda install -c conda-forge imagehash
```
</details>
<details><summary><b><a href="https://github.com/lucidrains/vit-pytorch">vit-pytorch</a></b> (🥈31 · ⭐ 24K) - Implementation of Vision Transformer, a simple way to achieve.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 24 · 🔀 3.4K · 📦 21 · 📋 290 - 49% open · ⏱️ 28.10.2025):
```
git clone https://github.com/lucidrains/vit-pytorch
```
- [PyPi](https://pypi.org/project/vit-pytorch) (📥 31K / month · 📦 28 · ⏱️ 27.10.2025):
```
pip install vit-pytorch
```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleSeg">PaddleSeg</a></b> (🥈31 · ⭐ 9.2K) - Easy-to-use image segmentation library with awesome pre-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 130 · 🔀 1.7K · 📦 1.5K · 📋 2.2K - 0% open · ⏱️ 10.10.2025):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
- [PyPi](https://pypi.org/project/paddleseg) (📥 3.8K / month · 📦 7 · ⏱️ 30.11.2022):
```
pip install paddleseg
```
</details>
<details><summary><b><a href="https://github.com/obss/sahi">sahi</a></b> (🥈31 · ⭐ 4.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/obss/sahi) (👨💻 69 · 🔀 700 · 📥 43K · 📦 1.9K · ⏱️ 28.10.2025):
```
git clone https://github.com/obss/sahi
```
- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 43 · ⏱️ 28.09.2025):
```
pip install sahi
```
- [Conda](https://anaconda.org/conda-forge/sahi) (📥 120K · ⏱️ 29.09.2025):
```
conda install -c conda-forge sahi
```
</details>
<details><summary><b><a href="https://github.com/lightly-ai/lightly">lightly</a></b> (🥈31 · ⭐ 3.6K) - A python library for self-supervised learning on images. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 72 · 🔀 310 · 📦 510 · 📋 610 - 12% open · ⏱️ 25.09.2025):
```
git clone https://github.com/lightly-ai/lightly
```
- [PyPi](https://pypi.org/project/lightly) (📥 190K / month · 📦 20 · ⏱️ 22.07.2025):
```
pip install lightly
```
</details>
<details><summary><b><a href="https://github.com/mindee/doctr">doctr</a></b> (🥈29 · ⭐ 5.6K) - docTR (Document Text Recognition) - a seamless, high-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/mindee/doctr) (👨💻 68 · 🔀 580 · 📥 6.5M · 📋 440 - 6% open · ⏱️ 07.09.2025):
```
git clone https://github.com/mindee/doctr
```
- [PyPi](https://pypi.org/project/python-doctr) (📥 2M / month · 📦 18 · ⏱️ 09.07.2025):
```
pip install python-doctr
```
</details>
<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></b> (🥉28 · ⭐ 14K) - Object Detection toolkit based on PaddlePaddle. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 190 · 🔀 3K · 📋 5.7K - 17% open · ⏱️ 10.10.2025):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
- [PyPi](https://pypi.org/project/paddledet) (📥 2.2K / month · 📦 2 · ⏱️ 19.09.2022):
```
pip install paddledet
```
</details>
<details><summary><b><a href="https://github.com/ipazc/mtcnn">mtcnn</a></b> (🥉27 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/ipazc/mtcnn) (👨💻 15 · 🔀 530 · 📥 76 · 📦 9.2K · 📋 130 - 37% open · ⏱️ 08.10.2024):
```
git clone https://github.com/ipazc/mtcnn
```
- [PyPi](https://pypi.org/project/mtcnn) (📥 210K / month · 📦 73 · ⏱️ 08.10.2024):
```
pip install mtcnn
```
- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 16K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mtcnn
```
</details>
<details><summary><b><a href="https://github.com/CellProfiler/CellProfiler">CellProfiler</a></b> (🥉27 · ⭐ 1.1K) - An open-source application for biological image analysis. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 150 · 🔀 410 · 📥 24K · 📦 28 · 📋 3.4K - 10% open · ⏱️ 24.09.2025):
```
git clone https://github.com/CellProfiler/CellProfiler
```
- [PyPi](https://pypi.org/project/cellprofiler) (📥 1.6K / month · 📦 2 · ⏱️ 16.09.2024):
```
pip install cellprofiler
```
</details>
<details><summary><b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (🥉27 · ⭐ 880) - Computer Vision in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/luispedro/mahotas) (👨💻 35 · 🔀 150 · 📦 1.6K · 📋 92 - 21% open · ⏱️ 05.08.2025):
```
git clone https://github.com/luispedro/mahotas
```
- [PyPi](https://pypi.org/project/mahotas) (📥 42K / month · 📦 63 · ⏱️ 17.07.2024):
```
pip install mahotas
```
- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 790K · ⏱️ 21.10.2025):
```
conda install -c conda-forge mahotas
```
</details>
<details><summary><b><a href="https://github.com/idealo/imagededup">Image Deduplicator</a></b> (🥉26 · ⭐ 5.5K) - Finding duplicate images made easy!. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/idealo/imagededup) (👨💻 19 · 🔀 460 · 📥 29 · 📦 200 · 📋 140 - 25% open · ⏱️ 15.08.2025):
```
git clone https://github.com/idealo/imagededup
```
- [PyPi](https://pypi.org/project/imagededup) (📥 69K / month · 📦 29 · ⏱️ 15.08.2025):
```
pip install imagededup
```
</details>
<details><summary><b><a href="https://github.com/tensorflow/graphics">tensorflow-graphics</a></b> (🥉26 · ⭐ 2.8K · 💤) - TensorFlow Graphics: Differentiable Graphics Layers.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):
```
git clone https://github.com/tensorflow/graphics
```
- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 61K / month · 📦 11 · ⏱️ 03.12.2021):
```
pip install tensorflow-graphics
```
</details>
<details><summary><b><a href="https://github.com/tryolabs/norfair">Norfair</a></b> (🥉26 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/tryolabs/norfair) (👨💻 32 · 🔀 260 · 📥 360 · 📦 340 · 📋 180 - 16% open · ⏱️ 30.04.2025):
```
git clone https://github.com/tryolabs/norfair
```
- [PyPi](https://pypi.org/project/norfair) (📥 44K / month · 📦 9 · ⏱️ 30.04.2025):
```
pip install norfair
```
</details>
<details><summary><b><a href="https://github.com/libvips/pyvips">pyvips</a></b> (🥉26 · ⭐ 740) - python binding for libvips using cffi. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/libvips/pyvips) (👨💻 17 · 🔀 53 · 📦 1.2K · 📋 670 - 29% open · ⏱️ 04.09.2025):
```
git clone https://github.com/libvips/pyvips
```
- [PyPi](https://pypi.org/project/pyvips) (📥 190K / month · 📦 94 · ⏱️ 28.04.2025):
```
pip install pyvips
```
- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 260K · ⏱️ 04.09.2025):
```
conda install -c conda-forge pyvips
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/pytorchvideo">pytorchvideo</a></b> (🥉25 · ⭐ 3.5K) - A deep learning library for video understanding research. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 59 · 🔀 420 · 📋 210 - 50% open · ⏱️ 27.10.2025):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
- [PyPi](https://pypi.org/project/pytorchvideo) (📥 53K / month · 📦 24 · ⏱️ 20.01.2022):
```
pip install pytorchvideo
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/mmf">MMF</a></b> (🥉24 · ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 920 · 📦 23 · 📋 690 - 21% open · ⏱️ 24.04.2025):
```
git clone https://github.com/facebookresearch/mmf
```
- [PyPi](https://pypi.org/project/mmf) (📥 190 / month · 📦 1 · ⏱️ 12.06.2020):
```
pip install mmf
```
</details>
<details><summary><b><a href="https://github.com/google-research/kubric">kubric</a></b> (🥉22 · ⭐ 2.6K) - A data generation pipeline for creating semi-realistic synthetic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/google-research/kubric) (👨💻 32 · 🔀 250 · 📦 7 · 📋 200 - 35% open · ⏱️ 06.05.2025):
```
git clone https://github.com/google-research/kubric
```
- [PyPi](https://pypi.org/project/kubric-nightly) (📥 6.6K / month · ⏱️ 27.12.2023):
```
pip install kubric-nightly
```
</details>
<details><summary><b><a href="https://github.com/airctic/icevision">icevision</a></b> (🥉22 · ⭐ 870 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/airctic/icevision) (👨💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):
```
git clone https://github.com/airctic/icevision
```
- [PyPi](https://pypi.org/project/icevision) (📥 2.3K / month · 📦 6 · ⏱️ 10.02.2022):
```
pip install icevision
```
</details>
<details><summary><b><a href="https://github.com/facebookresearch/SlowFast">PySlowFast</a></b> (🥉21 · ⭐ 7.2K) - PySlowFast: video understanding codebase from FAIR for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 35 · 🔀 1.2K · 📦 23 · 📋 720 - 59% open · ⏱️ 27.10.2025):
```
git clone https://github.com/facebookresearch/SlowFast
```
- [PyPi](https://pypi.org/project/pyslowfast) (📥 22 / month · ⏱️ 15.01.2020):
```
pip install pyslowfast
```
</details>
<details><summary><b><a href="https://github.com/idealo/image-super-resolution">Image Super-Resolution</a></b> (🥉21 · ⭐ 4.8K · 💤) - Super-scale your images and run experiments with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/idealo/image-super-resolution) (👨💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):
```
git clone https://github.com/idealo/image-super-resolution
```
- [PyPi](https://pypi.org/project/ISR) (📥 3.9K / month · 📦 5 · ⏱️ 08.01.2020):
```
pip install ISR
```
- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 290 · ⭐ 1 · ⏱️ 01.04.2019):
```
docker pull idealo/image-super-resolution-gpu
```
</details>
<details><summary><b><a href="https://github.com/jasmcaus/caer">Caer</a></b> (🥉21 · ⭐ 800) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/jasmcaus/caer) (👨💻 8 · 🔀 110 · 📥 48 · ⏱️ 11.08.2025):
```
git clone https://github.com/jasmcaus/caer
```
- [PyPi](https://pypi.org/project/caer) (📥 3.8K / month · 📦 3 · ⏱️ 11.08.2025):
```
pip install caer
```
</details>
<details><summary><b><a href="https://github.com/google-research/scenic">scenic</a></b> (🥉16 · ⭐ 3.7K) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/google-research/scenic) (👨💻 95 · 🔀 460 · 📋 400 - 70% open · ⏱️ 06.08.2025):
```
git clone https://github.com/google-research/scenic
```
</details>
<details><summary>Show 30 hidden projects...</summary>
- <b><a href="https://github.com/scikit-image/scikit-image">scikit-image</a></b> (🥇41 · ⭐ 6.4K · 📈) - Image processing in Python. <code>❗Unlicensed</code>
- <b><a href="https://github.com/glfw/glfw">glfw</a></b> (🥈38 · ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. <code><a href="https://tldrlegal.com/search?q=Zlib">❗️Zlib</a></code>
- <b><a href="https://github.com/open-mmlab/mmdetection">MMDetection</a></b> (🥈37 · ⭐ 32K · 💀) - OpenMMLab Detection Toolbox and Benchmark. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/aleju/imgaug">imgaug</a></b> (🥈36 · ⭐ 15K · 💀) - Image augmentation for machine learning experiments. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/ageitgey/face_recognition">Face Recognition</a></b> (🥈35 · ⭐ 56K · 💀) - The worlds simplest facial recognition api for Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/PyImageSearch/imutils">imutils</a></b> (🥈31 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/facebookresearch/pytorch3d">PyTorch3D</a></b> (🥈30 · ⭐ 9.6K) - PyTorch3D is FAIRs library of reusable components for.. <code>❗Unlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/OlafenwaMoses/ImageAI">imageai</a></b> (🥈30 · ⭐ 8.8K · 💀) - A python library built to empower developers to build applications.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/1adrianb/face-alignment">Face Alignment</a></b> (🥉28 · ⭐ 7.4K · 💀) - 2D and 3D Face alignment library build using pytorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/dmlc/gluon-cv">GluonCV</a></b> (🥉27 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/mdbloice/Augmentor">Augmentor</a></b> (🥉27 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/abhiTronix/vidgear">vidgear</a></b> (🥉27 · ⭐ 3.6K · 💀) - A High-performance cross-platform Video Processing Python.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/chainer/chainercv">chainercv</a></b> (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></b> (🥉26 · ⭐ 5K · 💀) - Pretrained Pytorch face detection (MTCNN) and facial.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/uploadcare/pillow-simd">Pillow-SIMD</a></b> (🥉25 · ⭐ 2.2K · 💀) - The friendly PIL fork. <code><a href="https://tldrlegal.com/search?q=PIL">❗️PIL</a></code>
- <b><a href="https://github.com/Layout-Parser/layout-parser">layout-parser</a></b> (🥉24 · ⭐ 5.6K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/qubvel/segmentation_models">segmentation_models</a></b> (🥉24 · ⭐ 4.9K · 💀) - Segmentation models with pretrained backbones. Keras.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/libffcv/ffcv">ffcv</a></b> (🥉23 · ⭐ 3K · 💀) - FFCV: Fast Forward Computer Vision (and other ML workloads!). <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/facebookresearch/ClassyVision">Classy Vision</a></b> (🥉23 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/lucidrains/deep-daze">deep-daze</a></b> (🥉22 · ⭐ 4.3K · 💀) - Simple command line tool for text to image generation using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/facebookresearch/vissl">vissl</a></b> (🥉22 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/tryolabs/luminoth">Luminoth</a></b> (🥉22 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/alankbi/detecto">detecto</a></b> (🥉21 · ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/detr">DE⫶TR</a></b> (🥉20 · ⭐ 15K · 💀) - End-to-End Object Detection with Transformers. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/rhsimplex/image-match">image-match</a></b> (🥉20 · ⭐ 3K · 💀) - Quickly search over billions of images. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/imedslab/solt">solt</a></b> (🥉19 · ⭐ 260) - Streaming over lightweight data transformations. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/facebookresearch/pycls">pycls</a></b> (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/nicolas-chaulet/torch-points3d">Torch Points 3D</a></b> (🥉17 · ⭐ 260 · 💀) - Pytorch framework for doing deep learning on point.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/hhatto/nude.py">nude.py</a></b> (🥉16 · ⭐ 920 · 💀) - Nudity detection with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/qanastek/HugsVision">HugsVision</a></b> (🥉14 · ⭐ 200 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>huggingface</code>
</details>
<br>
## Graph Data
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
<details><summary><b><a href="https://github.com/networkx/networkx">networkx</a></b> (🥇46 · ⭐ 16K) - Network Analysis in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/networkx/networkx) (👨💻 790 · 🔀 3.4K · 📥 110 · 📦 430K · 📋 3.5K - 10% open · ⏱️ 29.10.2025):
```
git clone https://github.com/networkx/networkx
```
- [PyPi](https://pypi.org/project/networkx) (📥 130M / month · 📦 12K · ⏱️ 29.05.2025):
```
pip install networkx
```
- [Conda](https://anaconda.org/conda-forge/networkx) (📥 26M · ⏱️ 04.06.2025):
```
conda install -c conda-forge networkx
```
</details>
<details><summary><b><a href="https://github.com/pyg-team/pytorch_geometric">PyTorch Geometric</a></b> (🥇41 · ⭐ 23K) - Graph Neural Network Library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 560 · 🔀 3.9K · 📦 11K · 📋 4K - 30% open · ⏱️ 29.10.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
- [PyPi](https://pypi.org/project/torch-geometric) (📥 940K / month · 📦 730 · ⏱️ 15.10.2025):
```
pip install torch-geometric
```
- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 190K · ⏱️ 16.10.2025):
```
conda install -c conda-forge pytorch_geometric
```
</details>
<details><summary><b><a href="https://github.com/dmlc/dgl">dgl</a></b> (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/dmlc/dgl) (👨💻 300 · 🔀 3K · 📦 4.1K · 📋 3K - 20% open · ⏱️ 31.07.2025):
```
git clone https://github.com/dmlc/dgl
```
- [PyPi](https://pypi.org/project/dgl) (📥 150K / month · 📦 150 · ⏱️ 13.05.2024):
```
pip install dgl
```
</details>
<details><summary><b><a href="https://github.com/graphistry/pygraphistry">pygraphistry</a></b> (🥈29 · ⭐ 2.4K) - PyGraphistry is a Python library to quickly load, shape,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 48 · 🔀 220 · 📋 420 - 51% open · ⏱️ 30.10.2025):
```
git clone https://github.com/graphistry/pygraphistry
```
- [PyPi](https://pypi.org/project/graphistry) (📥 8.5K / month · 📦 9 · ⏱️ 21.10.2025):
```
pip install graphistry
```
</details>
<details><summary><b><a href="https://github.com/snap-stanford/ogb">ogb</a></b> (🥈29 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 2.6K · 📋 310 - 11% open · ⏱️ 06.05.2025):
```
git clone https://github.com/snap-stanford/ogb
```
- [PyPi](https://pypi.org/project/ogb) (📥 100K / month · 📦 73 · ⏱️ 07.04.2023):
```
pip install ogb
```
- [Conda](https://anaconda.org/conda-forge/ogb) (📥 63K · ⏱️ 22.04.2025):
```
conda install -c conda-forge ogb
```
</details>
<details><summary><b><a href="https://github.com/pykeen/pykeen">PyKEEN</a></b> (🥈28 · ⭐ 1.9K) - A Python library for learning and evaluating knowledge graph embeddings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/pykeen/pykeen) (👨💻 43 · 🔀 210 · 📥 240 · 📦 350 · 📋 590 - 20% open · ⏱️ 18.07.2025):
```
git clone https://github.com/pykeen/pykeen
```
- [PyPi](https://pypi.org/project/pykeen) (📥 31K / month · 📦 28 · ⏱️ 24.04.2025):
```
pip install pykeen
```
</details>
<details><summary><b><a href="https://github.com/benedekrozemberczki/pytorch_geometric_temporal">pytorch_geometric_temporal</a></b> (🥈27 · ⭐ 2.9K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 39 · 🔀 400 · 📋 210 - 18% open · ⏱️ 18.09.2025):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 6.7K / month · 📦 12 · ⏱️ 16.07.2025):
```
pip install torch-geometric-temporal
```
</details>
<details><summary><b><a href="https://github.com/rusty1s/pytorch_cluster">torch-cluster</a></b> (🥈24 · ⭐ 900) - PyTorch Extension Library of Optimized Graph Cluster.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 40 · 🔀 150 · 📋 190 - 16% open · ⏱️ 12.08.2025):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
- [PyPi](https://pypi.org/project/torch-cluster) (📥 34K / month · 📦 62 · ⏱️ 12.10.2023):
```
pip install torch-cluster
```
- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 440K · ⏱️ 22.09.2025):
```
conda install -c conda-forge pytorch_cluster
```
</details>
<details><summary>Show 28 hidden projects...</summary>
- <b><a href="https://github.com/igraph/python-igraph">igraph</a></b> (🥇34 · ⭐ 1.4K) - Python interface for igraph. <code><a href="http://bit.ly/2KucAZR">❗️GPL-2.0</a></code>
- <b><a href="https://github.com/danielegrattarola/spektral">Spektral</a></b> (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/stellargraph/stellargraph">StellarGraph</a></b> (🥈27 · ⭐ 3K · 💀) - StellarGraph - Machine Learning on Graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Kozea/pygal">pygal</a></b> (🥈26 · ⭐ 2.7K · 💀) - PYthon svg GrAph plotting Library. <code><a href="http://bit.ly/37RvQcA">❗️LGPL-3.0</a></code>
- <b><a href="https://github.com/PaddlePaddle/PGL">Paddle Graph Learning</a></b> (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/Accenture/AmpliGraph">AmpliGraph</a></b> (🥈25 · ⭐ 2.2K · 💀) - Python library for Representation Learning on Knowledge.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/eliorc/node2vec">Node2Vec</a></b> (🥈25 · ⭐ 1.3K · 💀) - Implementation of the node2vec algorithm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/benedekrozemberczki/karateclub">Karate Club</a></b> (🥈24 · ⭐ 2.3K · 💀) - Karate Club: An API Oriented Open-source Python Framework.. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/google-deepmind/graph_nets">graph-nets</a></b> (🥉22 · ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/facebookresearch/PyTorch-BigGraph">PyTorch-BigGraph</a></b> (🥉21 · ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/graph4ai/graph4nlp">graph4nlp</a></b> (🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/google-deepmind/jraph">jraph</a></b> (🥉21 · ⭐ 1.5K · 💀) - A Graph Neural Network Library in Jax. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/phanein/deepwalk">DeepWalk</a></b> (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/divelab/DIG">DIG</a></b> (🥉20 · ⭐ 2K · 💀) - A library for graph deep learning research. <code><a href="http://bit.ly/2M0xdwT">❗️GPL-3.0</a></code>
- <b><a href="https://github.com/snap-stanford/deepsnap">deepsnap</a></b> (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/predict-idlab/pyRDF2Vec">pyRDF2Vec</a></b> (🥉20 · ⭐ 260 · 💀) - Python Implementation and Extension of RDF2Vec. <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/snap-stanford/GraphGym">GraphGym</a></b> (🥉17 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href="http://bit.ly/34MBwT8">MIT</a></code>
- <b><a href="https://github.com/gsi-upm/sematch">Sematch</a></b> (🥉17 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/deepgraph/deepgraph">DeepGraph</a></b> (🥉17 · ⭐ 320) - Analyze Data with Pandas-based Networks. Documentation:. <code>❗Unlicensed</code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/THUMNLab/AutoGL">AutoGL</a></b> (🥉16 · ⭐ 1.1K · 💀) - An autoML framework & toolkit for machine learning on graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/typedb/typedb-ml">kglib</a></b> (🥉16 · ⭐ 550 · 💀) - TypeDB-ML is the Machine Learning integrations library for TypeDB. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/microsoft/ptgnn">ptgnn</a></b> (🥉16 · ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/alibaba/euler">Euler</a></b> (🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/shenweichen/GraphEmbedding">GraphEmbedding</a></b> (🥉14 · ⭐ 3.8K · 💀) - Implementation and experiments of graph embedding.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/williamleif/GraphSAGE">GraphSAGE</a></b> (🥉14 · ⭐ 3.6K · 💀) - Representation learning on large graphs using stochastic.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/thunlp/OpenNE">OpenNE</a></b> (🥉14 · ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code>
- <b><a href="https://github.com/DeepGraphLearning/graphvite">GraphVite</a></b> (🥉14 · ⭐ 1.3K · 💀) - GraphVite: A General and High-performance Graph Embedding.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code>
- <b><a href="https://github.com/thunlp/OpenKE">OpenKE</a></b> (🥉13 · ⭐ 4K · 💀) - An Open-Source Package for Knowledge Embedding (KE). <code>❗Unlicensed</code>
</details>
<br>
## Audio Data
<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
<details><summary><b><a href="https://github.com/speechbrain/speechbrain">speechbrain</a></b> (🥇38 · ⭐ 11K) - A PyTorch-based Speech Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 260 · 🔀 1.5K · 📦 3.9K · 📋 1.2K - 12% open · ⏱️ 30.10.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
- [PyPi](https://pypi.org/project/speechbrain) (📥 1.1M / month · 📦 79 · ⏱️ 07.04.2025):
```
pip install speechbrain
```
</details>
<details><summary><b><a href="https://github.com/espnet/espnet">espnet</a></b> (🥇38 · ⭐ 9.5K) - End-to-End Speech Processing Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/espnet/espnet) (👨💻 520 · 🔀 2.3K · 📥 84 · 📦 480 · 📋 2.5K - 3% open · ⏱️ 30.10.2025):
```
git clone https://github.com/espnet/espnet
```
- [PyPi](https://pypi.org/project/espnet) (📥 24K / month · 📦 19 · ⏱️ 13.09.2025):
```
pip install espnet
```
</details>
<details><summary><b><a href="https://github.com/pytorch/audio">torchaudio</a></b> (🥇37 · ⭐ 2.8K) - Data manipulation and transformation for audio signal.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/pytorch/audio) (👨💻 240 · 🔀 730 · 📋 1.1K - 31% open · ⏱️ 29.10.2025):
```
git clone https://github.com/pytorch/audio
```
- [PyPi](https://pypi.org/project/torchaudio) (📥 15M / month · 📦 2.4K · ⏱️ 15.10.2025):
```
pip install torchaudio
```
</details>
<details><summary><b><a href="https://github.com/Uberi/speech_recognition">SpeechRecognition</a></b> (🥈34 · ⭐ 8.9K) - Speech recognition module for Python, supporting several.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 56 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 28.10.2025):
```
git clone https://github.com/Uberi/speech_recognition
```
- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 2.2M / month · 📦 730 · ⏱️ 12.05.2025):
```
pip install SpeechRecognition
```
- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 360K · ⏱️ 12.05.2025):
```
conda install -c conda-forge speechrecognition
```
</details>
<details><summary><b><a href="https://github.com/librosa/librosa">librosa</a></b> (🥈34 · ⭐ 8K) - Python library for audio and music analysis. <code><a href="http://bit.ly/3hkKRql">ISC</a></code></summary>
- [GitHub](https://github.com/librosa/librosa) (👨💻 130 · 🔀 1K · 📋 1.3K - 5% open · ⏱️ 19.05.2025):
```
git clone https://github.com/librosa/librosa
```
- [PyPi](https://pypi.org/project/librosa) (📥 5.6M / month · 📦 1.6K · ⏱️ 11.03.2025):
```
pip install librosa
```
- [Conda](https://anaconda.org/conda-forge/librosa) (📥 1.1M · ⏱️ 22.04.2025):
```
conda install -c conda-forge librosa
```
</details>
<details><summary><b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (🥈33 · ⭐ 27K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/mozilla/DeepSpeech) (👨💻 160 · 🔀 4.1K · 📥 660K · 📦 540 · 📋 2.1K - 7% open · ⏱️ 19.06.2025):
```
git clone https://github.com/mozilla/DeepSpeech
```
- [PyPi](https://pypi.org/project/deepspeech) (📥 5.5K / month · 📦 24 · ⏱️ 19.12.2020):
```
pip install deepspeech
```
- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 4.2K · ⏱️ 22.04.2025):
```
conda install -c conda-forge deepspeech
```
</details>
<details><summary><b><a href="https://github.com/beetbox/audioread">audioread</a></b> (🥈33 · ⭐ 520 · 📈) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/beetbox/audioread) (👨💻 27 · 🔀 110 · 📦 35K · 📋 98 - 40% open · ⏱️ 26.10.2025):
```
git clone https://github.com/beetbox/audioread
```
- [PyPi](https://pypi.org/project/audioread) (📥 4.8M / month · 📦 180 · ⏱️ 26.10.2025):
```
pip install audioread
```
- [Conda](https://anaconda.org/conda-forge/audioread) (📥 1.2M · ⏱️ 02.10.2025):
```
conda install -c conda-forge audioread
```
</details>
<details><summary><b><a href="https://github.com/deezer/spleeter">spleeter</a></b> (🥈32 · ⭐ 27K) - Deezer source separation library including pretrained models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/deezer/spleeter) (👨💻 22 · 🔀 3K · 📥 4.4M · 📦 1.1K · 📋 830 - 32% open · ⏱️ 02.04.2025):
```
git clone https://github.com/deezer/spleeter
```
- [PyPi](https://pypi.org/project/spleeter) (📥 26K / month · 📦 18 · ⏱️ 03.04.2025):
```
pip install spleeter
```
- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 120K · ⏱️ 22.04.2025):
```
conda install -c conda-forge spleeter
```
</details>
<details><summary><b><a href="https://github.com/iver56/audiomentations">audiomentations</a></b> (🥈32 · ⭐ 2.2K) - A Python library for audio data augmentation. Useful for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary>
- [GitHub](https://github.com/iver56/audiomentations) (👨💻 34 · 🔀 200 · 📦 840 · 📋 210 - 26% open · ⏱️ 26.09.2025):
```
git clone https://github.com/iver56/audiomentations
```
- [PyPi](https://pypi.org/project/audiomentations) (📥 110K / month · 📦 38 · ⏱️ 13.09.2025):
```
pip install audiomentations
```
</details>
<details><summary><b><a href="https://github.com/idiap/coqui-ai-TTS">Coqui TTS</a></b> (🥈32 · ⭐ 1.9K) - - a deep learning toolkit for Text-to-Speech, battle-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/idiap/coqui-ai-TTS) (👨💻 200 · 🔀 240 · 📥 3.8K · 📦 760 · 📋 160 - 14% open · ⏱️ 16.10.2025):
```
git clone https://github.com/idiap/coqui-ai-TTS
```
- [PyPi](https://pypi.org/project/coqui-tts) (📥 94K / month · 📦 34 · ⏱️ 25.09.2025):
```
pip install coqui-tts
```
</details>
<details><summary><b><a href="https://github.com/magenta/magenta">Magenta</a></b> (🥈31 · ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary>
- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 600 · 📋 1K - 41% open · ⏱️ 08.07.2025):
```
git clone https://github.com/magenta/magenta
```
- [PyPi](https://pypi.org/project/magenta) (📥 4.8K / month · 📦 5 · ⏱️ 01.08.2022):
```
pip install magenta
```
</details>
<details><summary><b><a href="https://github.com/Picovoice/porcupine">Porcupine</a></b> (🥉29 · ⭐ 4.5K) - On-device wake word detection powered by deep learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 43 · 🔀 550 · 📦 51 · 📋 600 - 0% open · ⏱️ 17.10.2025):
```
git clone https://github.com/Picovoice/Porcupine
```
- [PyPi](https://pypi.org/project/pvporcupine) (📥 25K / month · 📦 38 · ⏱️ 05.02.2025):
```
pip install pvporcupine
```
</details>
<details><summary><b><a href="https://github.com/tyiannak/pyAudioAnalysis">pyAudioAnalysis</a></b> (🥉28 · ⭐ 6.2K) - Python Audio Analysis Library: Feature Extraction,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨💻 28 · 🔀 1.2K · 📦 670 · 📋 330 - 62% open · ⏱️ 04.08.2025):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 24K / month · 📦 12 · ⏱️ 07.02.2022):
```
pip install pyAudioAnalysis
```
</details>
<details><summary><b><a href="https://github.com/bastibe/python-soundfile">python-soundfile</a></b> (🥉27 · ⭐ 800) - SoundFile is an audio library based on libsndfile, CFFI, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary>
-
gitextract_dquk0npl/ ├── .github/ │ ├── .gitattributes │ ├── CODE_OF_CONDUCT.md │ ├── ISSUE_TEMPLATE/ │ │ ├── 01_suggest-project.md │ │ ├── 02_update-project.md │ │ ├── 03_update-categories.md │ │ ├── 04_change-configuration.md │ │ └── 05_anything-else.md │ ├── PULL_REQUEST_TEMPLATE.md │ └── workflows/ │ └── update-best-of-list.yml ├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── config/ │ ├── footer.md │ └── header.md ├── history/ │ ├── 2020-11-30_projects.csv │ ├── 2020-12-15_projects.csv │ ├── 2020-12-16_projects.csv │ ├── 2020-12-18_changes.md │ ├── 2020-12-18_projects.csv │ ├── 2020-12-27_changes.md │ ├── 2020-12-27_projects.csv │ ├── 2020-12-28_changes.md │ ├── 2020-12-28_projects.csv │ ├── 2021-01-01_changes.md │ ├── 2021-01-01_projects.csv │ ├── 2021-01-08_changes.md │ ├── 2021-01-08_projects.csv │ ├── 2021-01-13_changes.md │ ├── 2021-01-13_projects.csv │ ├── 2021-01-17_changes.md │ ├── 2021-01-17_projects.csv │ ├── 2021-01-21_changes.md │ ├── 2021-01-21_projects.csv │ ├── 2021-01-28_changes.md │ ├── 2021-01-28_projects.csv │ ├── 2021-02-04_changes.md │ ├── 2021-02-04_projects.csv │ ├── 2021-02-18_changes.md │ ├── 2021-02-18_projects.csv │ ├── 2021-02-25_changes.md │ ├── 2021-02-25_projects.csv │ ├── 2021-03-04_changes.md │ ├── 2021-03-04_projects.csv │ ├── 2021-03-11_changes.md │ ├── 2021-03-11_projects.csv │ ├── 2021-04-01_changes.md │ ├── 2021-04-01_projects.csv │ ├── 2021-04-08_changes.md │ ├── 2021-04-08_projects.csv │ ├── 2021-04-15_changes.md │ ├── 2021-04-15_projects.csv │ ├── 2021-04-22_changes.md │ ├── 2021-04-22_projects.csv │ ├── 2021-04-29_changes.md │ ├── 2021-04-29_projects.csv │ ├── 2021-05-13_changes.md │ ├── 2021-05-13_projects.csv │ ├── 2021-06-03_changes.md │ ├── 2021-06-03_projects.csv │ ├── 2021-07-01_changes.md │ ├── 2021-07-01_projects.csv │ ├── 2021-07-08_changes.md │ ├── 2021-07-08_projects.csv │ ├── 2021-07-15_changes.md │ ├── 2021-07-15_projects.csv │ ├── 2021-08-19_changes.md │ ├── 2021-08-19_projects.csv │ ├── 2021-08-26_changes.md │ ├── 2021-08-26_projects.csv │ ├── 2021-11-17_changes.md │ ├── 2021-11-17_projects.csv │ ├── 2021-12-02_changes.md │ ├── 2021-12-02_projects.csv │ ├── 2021-12-09_changes.md │ ├── 2021-12-09_projects.csv │ ├── 2021-12-30_changes.md │ ├── 2021-12-30_projects.csv │ ├── 2022-01-06_changes.md │ ├── 2022-01-06_projects.csv │ ├── 2022-01-09_changes.md │ ├── 2022-01-09_projects.csv │ ├── 2022-01-13_changes.md │ ├── 2022-01-13_projects.csv │ ├── 2022-02-10_changes.md │ ├── 2022-02-10_projects.csv │ ├── 2022-02-17_changes.md │ ├── 2022-02-17_projects.csv │ ├── 2022-04-14_changes.md │ ├── 2022-04-14_projects.csv │ ├── 2022-04-21_changes.md │ ├── 2022-04-21_projects.csv │ ├── 2022-04-28_changes.md │ ├── 2022-04-28_projects.csv │ ├── 2022-04-29_changes.md │ ├── 2022-04-29_projects.csv │ ├── 2022-05-05_changes.md │ ├── 2022-05-05_projects.csv │ ├── 2022-05-12_changes.md │ ├── 2022-05-12_projects.csv │ ├── 2022-05-19_changes.md │ ├── 2022-05-19_projects.csv │ ├── 2022-05-26_changes.md │ ├── 2022-05-26_projects.csv │ ├── 2022-06-02_changes.md │ ├── 2022-06-02_projects.csv │ ├── 2022-06-09_changes.md │ ├── 2022-06-09_projects.csv │ ├── 2022-06-16_changes.md │ ├── 2022-06-16_projects.csv │ ├── 2022-06-19_changes.md │ ├── 2022-06-19_projects.csv │ ├── 2022-06-23_changes.md │ ├── 2022-06-23_projects.csv │ ├── 2022-06-30_changes.md │ ├── 2022-06-30_projects.csv │ ├── 2022-07-07_changes.md │ ├── 2022-07-07_projects.csv │ ├── 2022-07-14_changes.md │ ├── 2022-07-14_projects.csv │ ├── 2022-07-21_changes.md │ ├── 2022-07-21_projects.csv │ ├── 2022-07-28_changes.md │ ├── 2022-07-28_projects.csv │ ├── 2022-08-04_changes.md │ ├── 2022-08-04_projects.csv │ ├── 2022-08-11_changes.md │ ├── 2022-08-11_projects.csv │ ├── 2022-08-18_changes.md │ ├── 2022-08-18_projects.csv │ ├── 2022-08-25_changes.md │ ├── 2022-08-25_projects.csv │ ├── 2022-09-01_changes.md │ ├── 2022-09-01_projects.csv │ ├── 2022-09-08_changes.md │ ├── 2022-09-08_projects.csv │ ├── 2022-09-15_changes.md │ ├── 2022-09-15_projects.csv │ ├── 2022-09-22_changes.md │ ├── 2022-09-22_projects.csv │ ├── 2022-09-29_changes.md │ ├── 2022-09-29_projects.csv │ ├── 2022-10-06_changes.md │ ├── 2022-10-06_projects.csv │ ├── 2022-10-13_changes.md │ ├── 2022-10-13_projects.csv │ ├── 2022-10-20_changes.md │ ├── 2022-10-20_projects.csv │ ├── 2022-10-27_changes.md │ ├── 2022-10-27_projects.csv │ ├── 2022-11-03_changes.md │ ├── 2022-11-03_projects.csv │ ├── 2022-11-10_changes.md │ ├── 2022-11-10_projects.csv │ ├── 2022-11-17_changes.md │ ├── 2022-11-17_projects.csv │ ├── 2022-11-24_changes.md │ ├── 2022-11-24_projects.csv │ ├── 2022-12-01_changes.md │ ├── 2022-12-01_projects.csv │ ├── 2022-12-08_changes.md │ ├── 2022-12-08_projects.csv │ ├── 2022-12-15_changes.md │ ├── 2022-12-15_projects.csv │ ├── 2022-12-29_changes.md │ ├── 2022-12-29_projects.csv │ ├── 2023-01-05_changes.md │ ├── 2023-01-05_projects.csv │ ├── 2023-01-12_changes.md │ ├── 2023-01-12_projects.csv │ ├── 2023-01-19_changes.md │ ├── 2023-01-19_projects.csv │ ├── 2023-01-26_changes.md │ ├── 2023-01-26_projects.csv │ ├── 2023-02-02_changes.md │ ├── 2023-02-02_projects.csv │ ├── 2023-02-09_changes.md │ ├── 2023-02-09_projects.csv │ ├── 2023-02-16_changes.md │ ├── 2023-02-16_projects.csv │ ├── 2023-02-23_changes.md │ ├── 2023-02-23_projects.csv │ ├── 2023-03-02_changes.md │ ├── 2023-03-02_projects.csv │ ├── 2023-03-09_changes.md │ ├── 2023-03-09_projects.csv │ ├── 2023-03-16_changes.md │ ├── 2023-03-16_projects.csv │ ├── 2023-03-23_changes.md │ ├── 2023-03-23_projects.csv │ ├── 2023-03-30_changes.md │ ├── 2023-03-30_projects.csv │ ├── 2023-04-06_changes.md │ ├── 2023-04-06_projects.csv │ ├── 2023-04-13_changes.md │ ├── 2023-04-13_projects.csv │ ├── 2023-04-20_changes.md │ ├── 2023-04-20_projects.csv │ ├── 2023-04-27_changes.md │ ├── 2023-04-27_projects.csv │ ├── 2023-05-04_changes.md │ ├── 2023-05-04_projects.csv │ ├── 2023-05-11_changes.md │ ├── 2023-05-11_projects.csv │ ├── 2023-05-18_changes.md │ ├── 2023-05-18_projects.csv │ ├── 2023-05-25_changes.md │ ├── 2023-05-25_projects.csv │ ├── 2023-06-01_changes.md │ ├── 2023-06-01_projects.csv │ ├── 2023-06-08_changes.md │ ├── 2023-06-08_projects.csv │ ├── 2023-06-15_changes.md │ ├── 2023-06-15_projects.csv │ ├── 2023-06-22_changes.md │ ├── 2023-06-22_projects.csv │ ├── 2023-06-29_changes.md │ ├── 2023-06-29_projects.csv │ ├── 2023-07-06_changes.md │ ├── 2023-07-06_projects.csv │ ├── 2023-07-13_changes.md │ ├── 2023-07-13_projects.csv │ ├── 2023-07-20_changes.md │ ├── 2023-07-20_projects.csv │ ├── 2023-07-27_changes.md │ ├── 2023-07-27_projects.csv │ ├── 2023-08-03_changes.md │ ├── 2023-08-03_projects.csv │ ├── 2023-08-10_changes.md │ ├── 2023-08-10_projects.csv │ ├── 2023-08-17_changes.md │ ├── 2023-08-17_projects.csv │ ├── 2023-08-24_changes.md │ ├── 2023-08-24_projects.csv │ ├── 2023-08-31_changes.md │ ├── 2023-08-31_projects.csv │ ├── 2023-09-07_changes.md │ ├── 2023-09-07_projects.csv │ ├── 2023-09-14_changes.md │ ├── 2023-09-14_projects.csv │ ├── 2023-09-21_changes.md │ ├── 2023-09-21_projects.csv │ ├── 2023-09-28_changes.md │ ├── 2023-09-28_projects.csv │ ├── 2023-10-05_changes.md │ ├── 2023-10-05_projects.csv │ ├── 2023-10-12_changes.md │ ├── 2023-10-12_projects.csv │ ├── 2023-10-19_changes.md │ ├── 2023-10-19_projects.csv │ ├── 2023-10-26_changes.md │ ├── 2023-10-26_projects.csv │ ├── 2023-11-09_changes.md │ ├── 2023-11-09_projects.csv │ ├── 2023-11-16_changes.md │ ├── 2023-11-16_projects.csv │ ├── 2023-11-23_changes.md │ ├── 2023-11-23_projects.csv │ ├── 2023-11-30_changes.md │ ├── 2023-11-30_projects.csv │ ├── 2023-12-07_changes.md │ ├── 2023-12-07_projects.csv │ ├── 2023-12-14_changes.md │ ├── 2023-12-14_projects.csv │ ├── 2023-12-21_changes.md │ ├── 2023-12-21_projects.csv │ ├── 2023-12-28_changes.md │ ├── 2023-12-28_projects.csv │ ├── 2024-01-04_changes.md │ ├── 2024-01-04_projects.csv │ ├── 2024-01-11_changes.md │ ├── 2024-01-11_projects.csv │ ├── 2024-01-18_changes.md │ ├── 2024-01-18_projects.csv │ ├── 2024-01-25_changes.md │ ├── 2024-01-25_projects.csv │ ├── 2024-02-08_changes.md │ ├── 2024-02-08_projects.csv │ ├── 2024-02-15_changes.md │ ├── 2024-02-15_projects.csv │ ├── 2024-02-22_changes.md │ ├── 2024-02-22_projects.csv │ ├── 2024-02-29_changes.md │ ├── 2024-02-29_projects.csv │ ├── 2024-03-07_changes.md │ ├── 2024-03-07_projects.csv │ ├── 2024-03-14_changes.md │ ├── 2024-03-14_projects.csv │ ├── 2024-03-21_changes.md │ ├── 2024-03-21_projects.csv │ ├── 2024-03-28_changes.md │ ├── 2024-03-28_projects.csv │ ├── 2024-04-04_changes.md │ ├── 2024-04-04_projects.csv │ ├── 2024-04-11_changes.md │ ├── 2024-04-11_projects.csv │ ├── 2024-04-18_changes.md │ ├── 2024-04-18_projects.csv │ ├── 2024-05-02_changes.md │ ├── 2024-05-02_projects.csv │ ├── 2024-05-09_changes.md │ ├── 2024-05-09_projects.csv │ ├── 2024-05-16_changes.md │ ├── 2024-05-16_projects.csv │ ├── 2024-05-23_changes.md │ ├── 2024-05-23_projects.csv │ ├── 2024-05-30_changes.md │ ├── 2024-05-30_projects.csv │ ├── 2024-06-06_changes.md │ ├── 2024-06-06_projects.csv │ ├── 2024-09-05_changes.md │ ├── 2024-09-05_projects.csv │ ├── 2024-09-12_changes.md │ ├── 2024-09-12_projects.csv │ ├── 2024-09-19_changes.md │ ├── 2024-09-19_projects.csv │ ├── 2024-09-26_changes.md │ ├── 2024-09-26_projects.csv │ ├── 2024-10-03_changes.md │ ├── 2024-10-03_projects.csv │ ├── 2024-10-10_changes.md │ ├── 2024-10-10_projects.csv │ ├── 2024-10-24_changes.md │ ├── 2024-10-24_projects.csv │ ├── 2024-10-31_changes.md │ ├── 2024-10-31_projects.csv │ ├── 2024-11-07_changes.md │ ├── 2024-11-07_projects.csv │ ├── 2024-11-14_changes.md │ ├── 2024-11-14_projects.csv │ ├── 2024-11-21_changes.md │ ├── 2024-11-21_projects.csv │ ├── 2024-11-28_changes.md │ ├── 2024-11-28_projects.csv │ ├── 2024-12-05_changes.md │ ├── 2024-12-05_projects.csv │ ├── 2024-12-12_changes.md │ ├── 2024-12-12_projects.csv │ ├── 2024-12-19_changes.md │ ├── 2024-12-19_projects.csv │ ├── 2024-12-26_changes.md │ ├── 2024-12-26_projects.csv │ ├── 2025-01-02_changes.md │ ├── 2025-01-02_projects.csv │ ├── 2025-01-09_changes.md │ ├── 2025-01-09_projects.csv │ ├── 2025-01-16_changes.md │ ├── 2025-01-16_projects.csv │ ├── 2025-01-23_changes.md │ ├── 2025-01-23_projects.csv │ ├── 2025-01-30_changes.md │ ├── 2025-01-30_projects.csv │ ├── 2025-02-06_changes.md │ ├── 2025-02-06_projects.csv │ ├── 2025-02-13_changes.md │ ├── 2025-02-13_projects.csv │ ├── 2025-02-20_changes.md │ ├── 2025-02-20_projects.csv │ ├── 2025-02-27_changes.md │ ├── 2025-02-27_projects.csv │ ├── 2025-03-06_changes.md │ ├── 2025-03-06_projects.csv │ ├── 2025-03-13_changes.md │ ├── 2025-03-13_projects.csv │ ├── 2025-03-20_changes.md │ ├── 2025-03-20_projects.csv │ ├── 2025-03-27_changes.md │ ├── 2025-03-27_projects.csv │ ├── 2025-04-03_changes.md │ ├── 2025-04-03_projects.csv │ ├── 2025-04-10_changes.md │ ├── 2025-04-10_projects.csv │ ├── 2025-04-17_changes.md │ ├── 2025-04-17_projects.csv │ ├── 2025-04-24_changes.md │ ├── 2025-04-24_projects.csv │ ├── 2025-05-08_changes.md │ ├── 2025-05-08_projects.csv │ ├── 2025-05-15_changes.md │ ├── 2025-05-15_projects.csv │ ├── 2025-05-22_changes.md │ ├── 2025-05-22_projects.csv │ ├── 2025-05-29_changes.md │ ├── 2025-05-29_projects.csv │ ├── 2025-06-05_changes.md │ ├── 2025-06-05_projects.csv │ ├── 2025-06-12_changes.md │ ├── 2025-06-12_projects.csv │ ├── 2025-06-19_changes.md │ ├── 2025-06-19_projects.csv │ ├── 2025-06-26_changes.md │ ├── 2025-06-26_projects.csv │ ├── 2025-07-03_changes.md │ ├── 2025-07-03_projects.csv │ ├── 2025-07-10_changes.md │ ├── 2025-07-10_projects.csv │ ├── 2025-07-17_changes.md │ ├── 2025-07-17_projects.csv │ ├── 2025-07-24_changes.md │ ├── 2025-07-24_projects.csv │ ├── 2025-07-31_changes.md │ ├── 2025-07-31_projects.csv │ ├── 2025-08-07_changes.md │ ├── 2025-08-07_projects.csv │ ├── 2025-08-14_changes.md │ ├── 2025-08-14_projects.csv │ ├── 2025-08-21_changes.md │ ├── 2025-08-21_projects.csv │ ├── 2025-08-28_changes.md │ ├── 2025-08-28_projects.csv │ ├── 2025-09-04_changes.md │ ├── 2025-09-04_projects.csv │ ├── 2025-09-11_changes.md │ ├── 2025-09-11_projects.csv │ ├── 2025-09-18_changes.md │ ├── 2025-09-18_projects.csv │ ├── 2025-09-25_changes.md │ ├── 2025-09-25_projects.csv │ ├── 2025-10-02_changes.md │ ├── 2025-10-02_projects.csv │ ├── 2025-10-09_changes.md │ ├── 2025-10-09_projects.csv │ ├── 2025-10-16_changes.md │ ├── 2025-10-16_projects.csv │ ├── 2025-10-23_changes.md │ ├── 2025-10-23_projects.csv │ ├── 2025-10-30_changes.md │ └── 2025-10-30_projects.csv ├── latest-changes.md └── projects.yaml
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// ... and 341 more files (download for full content)
About this extraction
This page contains the full source code of the lukasmasuch/best-of-ml-python GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 430 files (98.2 MB), approximately 4.1M tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.