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└── README.md

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FILE CONTENTS
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FILE: README.md
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# Libraries for Geometry Processing (GP)
<!--
![star](https://img.shields.io/github/stars/<user>/<repo>?style=flat)
-->
## General Libraries
* [Boost.Geometry](https://github.com/boostorg/geometry)
  ![cpp]
  ![star](https://img.shields.io/github/stars/boostorg/geometry?style=flat)
  : convex hull, intersection (clipping), within (point in polygon), distance, envelope (bounding box), simplify, transform, and much more. supports high precision arithmetic numbers, such as ttmath. [doc](boost.org/libs/geometry)
* [Boost.Polygon](https://github.com/boostorg/polygon)
  ![cpp]
  ![star](https://img.shields.io/github/stars/boostorg/polygon?style=flat)
  : the polygon set operations (intersection, union, difference, disjoint-union) and related algorithms such as polygon connectivity graph extraction, offsetting and map-overlay. [doc](boost.org/libs/polygon)
* [CGAL](https://www.cgal.org/)
  ![cpp]
  ![star](https://img.shields.io/github/stars/cgal/cgal?style=flat)
  : The Computational Geometry Algorithms Library.
* [cg3lib](https://github.com/cg3hci/cg3lib) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/cg3hci/cg3lib?style=flat)
  : a GP library developed by the [CG3HCI Group](http://cg3hci.dmi.unica.it/lab/en) of the University of Cagliari.
* [CinoLib](https://github.com/mlivesu/cinolib) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/mlivesu/cinolib?style=flat)
  : a generic programming header-only C++ library for processing polygonal and polyhedral meshes.
* [DGtal](https://github.com/DGtal-team/DGtal)
  ![cpp]
  ![star](https://img.shields.io/github/stars/DGtal-team/DGtal?style=flat)
  : A library for digital geometry processing and analysis.
* [Easy3D](https://github.com/LiangliangNan/Easy3D/)
  ![cpp] 
  ![star](https://img.shields.io/github/stars/LiangliangNan/Easy3D?style=flat)
  : A lightweight and easy-to-use 3D mesh processing library.
* [Embree](https://github.com/embree/embree)
  ![cpp]
  ![star](https://img.shields.io/github/stars/embree/embree?style=flat)
  : a ray tracing library with GP modules including geometry objects, ray/point queries, collision detection, BVH, etc.
  * python bindings in Open3D and others.
* [Euclid](https://github.com/unclejimbo/Euclid) 
  ![cpp] 
  ![star](https://img.shields.io/github/stars/unclejimbo/Euclid?style=flat)
  : A C++ library for computational geometry and mesh processing.
* [Geogram](https://github.com/BrunoLevy/geogram)
  ![cpp]
  ![star](https://img.shields.io/github/stars/BrunoLevy/geogram?style=flat)
  : contains the main results in GP from the former ALICE Inria project.
* [Geometric Tools](https://github.com/davideberly/GeometricTools)
  ![cpp]
  ![star](https://img.shields.io/github/stars/davideberly/GeometricTools?style=flat)
  : [website](https://www.geometrictools.com/)
* [Geometry Central](https://github.com/nmwsharp/geometry-central) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/nmwsharp/geometry-central?style=flat)
  : [doc](http://geometry-central.net/)
* [GEOS](https://github.com/libgeos/geos)
  ![cpp]
  ![star](https://img.shields.io/github/stars/libgeos/geos?style=flat)
  : Geometry Engine, Open Source. Computational geometry library with a focus on algorithms used in geographic information systems (GIS). [website](https://libgeos.org/)
* [gproshan](https://github.com/larc/gproshan)
  ![cpp]
  ![star](https://img.shields.io/github/stars/larc/gproshan?style=flat)
  : using Compact Half–Edge (CHE) data structure.
* [gptoolbox](https://github.com/alecjacobson/gptoolbox)
  ![matlab]
  ![star](https://img.shields.io/github/stars/alecjacobson/gptoolbox?style=flat)
  : A MATLAB toolbox for geometry processing tasks.
* [gpytoolbox](https://github.com/sgsellan/gpytoolbox)
  ![python]
  ![star](https://img.shields.io/github/stars/sgsellan/gpytoolbox?style=flat)
  : A Python toolbox for geometry processing.
* [Graphite](https://github.com/BrunoLevy/GraphiteThree) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/BrunoLevy/GraphiteThree?style=flat)
  : an experimental 3D modeler, built around geogram.
* [GTS](https://gts.sourceforge.net/)
  ![C]
  : GNU Triangulated Surface Library.
* [GUDHI](https://github.com/GUDHI)
  ![cpp]
  ![python]
  : Geometry Understanding in Higher Dimensions, a generic open source library for Topological Data Analysis (TDA).
* [Hugues Hoppe's library](https://github.com/hhoppe/Mesh-processing-library) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/hhoppe/Mesh-processing-library?style=flat)
  : libraries and programs demonstrating mesh processing research published in ACM SIGGRAPH (1992-1998)
* [Lagrange (Adobe)](https://github.com/adobe/lagrange/) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/adobe/lagrange?style=flat)
  : A robust GP library. [Doc](opensource.adobe.com/lagrange-docs/).
* [LibIGL](http://libigl.github.io/libigl/) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/libigl/libigl?style=flat)
  : A simple C++ geometry processing library.
  * [libigl-python-bindings](https://github.com/libigl/libigl-python-bindings)
    ![python]
    ![star](https://img.shields.io/github/stars/libigl/libigl-python-bindings?style=flat)
* [Manifold](https://github.com/elalish/manifold)
  ![cpp]
  ![star](https://img.shields.io/github/stars/elalish/manifold?style=flat)
  : a geometry library dedicated to creating and operating on manifold triangle meshes. 
* [MatGeom](https://github.com/mattools/matGeom)
  ![matlab]
  ![star](https://img.shields.io/github/stars/mattools/matGeom?style=flat)
  : Matlab geometry toolbox for 2D/3D geometric computing.
* [MeshLab](https://github.com/cnr-isti-vclab/meshlab)
  ![cpp]
  ![star](https://img.shields.io/github/stars/cnr-isti-vclab/meshlab?style=flat)
  : An open-source system for processing and editing 3D triangular meshes.
  * [PyMeshLab](https://github.com/cnr-isti-vclab/PyMeshLab) 
    ![python]
    ![star](https://img.shields.io/github/stars/cnr-isti-vclab/PyMeshLab?style=flat)
* [MeshLib](https://github.com/MeshInspector/MeshLib) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/MeshInspector/MeshLib?style=flat)
  : A C++ library for mesh processing and analysis by MeshInspector.
* [MeshPipe](https://gitrepos.virvig.eu/jfons/meshpipe)
  : a python-based tool for easy automation and demonstration of GP pipelines [(Fons et al., 2020)](https://doi.org/DOI:10.5220/0008935900710082).
* [MeshUtility](https://github.com/zishun/meshutility/) 
  ![python]
  ![star](https://img.shields.io/github/stars/zishun/meshutility?style=flat)
  : A Python library for mesh utility functions.
* [MPI-IS Mesh](https://github.com/MPI-IS/mesh) 
  ![python]
  ![star](https://img.shields.io/github/stars/MPI-IS/mesh?style=flat)
  : A Python library for mesh processing.
* [Numerical Tours](https://github.com/gpeyre/numerical-tours)
  ![python] ![matlab]
  ![star](https://img.shields.io/github/stars/gpeyre/numerical-tours?style=flat)
  : includes some topics about mesh processing, mesh parameterization and deformation, and multiscale mesh processing. [website](http://www.numerical-tours.com/)
* [Open3D](http://www.open3d.org/) 
  ![cpp]
  ![python]
  ![star](https://img.shields.io/github/stars/isl-org/Open3D?style=flat)
  : A modern library for 3D data processing.
* [OpenGeode](https://github.com/Geode-solutions/OpenGeode)
  ![cpp]
  ![python]
  ![star](https://img.shields.io/github/stars/Geode-solutions/OpenGeode?style=flat)
  : [doc](https://docs.geode-solutions.com/)
* [OpenGP](https://github.com/OpenGP/OpenGP) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/OpenGP/OpenGP?style=flat)
  : deprecated.
* [OpenMesh](https://www.openmesh.org/) 
  ![cpp]
  [![python]](https://www.graphics.rwth-aachen.de:9000/OpenMesh/openmesh-python) 
  : Half-edge data structure for surface meshes.
* [OpenSubdiv](https://www.opensubdiv.org/docs/intro.html)
  ![cpp]
  ![star](https://img.shields.io/github/stars/PixarAnimationStudios/OpenSubdiv?style=flat)
  : An Open-Source subdivision surface library.
* [OpenVDB](https://www.openvdb.org/)
  ![cpp]
  ![star](https://img.shields.io/github/stars/AcademySoftwareFoundation/openvdb?style=flat)
  : Sparse volume data structure and tools
* [OpenVolumeMesh](https://www.graphics.rwth-aachen.de/software/openvolumemesh/) 
  ![cpp]
  : a data structure for arbitrary polytopal meshes. Its concepts are closely related to OpenMesh.
* [PMP Library](https://github.com/pmp-library/pmp-library/) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/pmp-library/pmp-library?style=flat)
  : A C++ library for polygon mesh processing.
    * Its prior work: [Sieger and Botsch, 2011](https://doi.org/10.1007/978-3-642-24734-7_29).
* [Point Cloud Library (PCL)](https://github.com/PointCloudLibrary/pcl)
  ![cpp]
  ![star](https://img.shields.io/github/stars/PointCloudLibrary/pcl?style=flat)
  : A standalone, large scale, open project for 2D/3D image and point cloud processing.
* [Point Cloud Utils (pcu)](https://github.com/fwilliams/point-cloud-utils)
  ![python]
  ![star](https://img.shields.io/github/stars/fwilliams/point-cloud-utils?style=flat)
  : a utility library for 3D processing point clouds and triangle meshes.
* [potpourri3d](https://github.com/nmwsharp/potpourri3d) 
  ![python]
  ![star](https://img.shields.io/github/stars/nmwsharp/potpourri3d?style=flat)
  : mainly bindings to C++ tools from [geometry-central](https://github.com/nmwsharp/geometry-central).
* [PyMesh(2)](https://github.com/PyMesh/PyMesh) 
  ![python]
  ![star](https://img.shields.io/github/stars/PyMesh/PyMesh?style=flat)
  : A rapid prototyping platform for geometry processing research.
    * [Issue with Windows](https://github.com/PyMesh/PyMesh/issues/103)
    * This is not [PyMesh](https://github.com/taxpon/pymesh)
* [pyntcloud](https://github.com/daavoo/pyntcloud)
  ![python]
  ![star](https://img.shields.io/github/stars/daavoo/pyntcloud?style=flat)
  : making point clouds fun again
* [PyVista](https://github.com/orgs/pyvista/repositories) 
  ![python]
  ![star](https://img.shields.io/github/stars/pyvista/pyvista?style=flat)
  : A Python package for 3D plotting and mesh analysis.
* [Shapely](https://github.com/shapely/shapely)
  ![python]
  ![star](https://img.shields.io/github/stars/shapely/shapely?style=flat)
  : for manipulation and analysis of **planar** geometric objects.
* [Thea](https://github.com/sidch/Thea)
  ![cpp]
  ![star](https://img.shields.io/github/stars/sidch/Thea?style=flat)
  : A C++ library for computer graphics and geometry processing.
* [trimesh](https://github.com/mikedh/trimesh) 
  ![python]
  ![star](https://img.shields.io/github/stars/mikedh/trimesh?style=flat)
  : [documentation](https://trimesh.org/)
* [trimesh2](https://gfx.cs.princeton.edu/proj/trimesh2/)
    ![cpp]
    : different from the trimesh library above.
    * [github fork](https://github.com/Forceflow/trimesh2)
    ![star](https://img.shields.io/github/stars/Forceflow/trimesh2?style=flat)
* [TTK](https://github.com/topology-tool-kit/ttk)
  ![cpp]
  ![python]
  ![star](https://img.shields.io/github/stars/topology-tool-kit/ttk?style=flat)
  : The Topology ToolKit for efficient, generic, and easy topological data analysis and visualization.
* [UltiMaille](https://github.com/ssloy/ultimaille) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/ssloy/ultimaille?style=flat)
  : allow representing: point set, polyline, triangles, quads, polygons, tetrahedra, hexahedra, wedges, pyramids.
* [VCGLib](https://github.com/cnr-isti-vclab/vcglib) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/cnr-isti-vclab/vcglib?style=flat)
  : used by MeshLab.
* [vedo](https://vedo.embl.es/) 
  ![python]
  ![star](https://img.shields.io/github/stars/marcomusy/vedo?style=flat)
  : A python module for scientific analysis and visualization of 3d objects.
* [VTK](https://vtk.org/)
  ![cpp]
  ![python]
  ![star](https://img.shields.io/github/stars/Kitware/VTK?style=flat)
  : The Visualization Toolkit (VTK) is open source software for manipulating and displaying scientific data. It comes with state-of-the-art tools for 3D rendering, a suite of widgets for 3D interaction, and extensive 2D plotting capability.


## GUI for GP
* [starlab](https://github.com/OpenGP/starlab) ![cpp]
  ![star](https://img.shields.io/github/stars/OpenGP/starlab?style=flat)
  : A framework for developing geometry processing algorithms.
* [OpenFlipper](https://www.graphics.rwth-aachen.de/software/openflipper/) ![cpp]
  : An open source multi-purpose 3D software.
* [polyscope](https://github.com/nmwsharp/polyscope) 
  ![cpp] ![python]
  ![star](https://img.shields.io/github/stars/nmwsharp/polyscope?style=flat)
  : a 3D data viewer
* Some libraries in the general list above also include GUI or viewer.
<details>
<summary>more</summary>

* https://github.com/cg3hci/py3DViewer
* https://github.com/enthought/mayavi
* https://github.com/embree/embree
* https://github.com/mmatl/pyrender
* https://github.com/moderngl/moderngl
* http://pyopengl.sourceforge.net/
* https://pyglet.org/
* https://www.panda3d.org/ and other game engines.
* [OGRE](https://www.ogre3d.org/): https://github.com/OGRECave

</details>


## Mesh Generation
* [Gmsh](http://gmsh.info/)
  ![cpp] ![python]
  : A three-dimensional finite element mesh generator with built-in pre- and post-processing facilities.
* [jigsaw](https://github.com/dengwirda/jigsaw)
  ![cpp]
  ![star](https://img.shields.io/github/stars/dengwirda/jigsaw?style=flat)
  [![python]](https://github.com/dengwirda/jigsaw-python)
  ![star](https://img.shields.io/github/stars/dengwirda/jigsaw-python?style=flat)
  : an unstructured mesh generator and tessellation library; designed to generate high-quality triangulations and polyhedral decompositions of general planar, surface, and volumetric domains.
* [MeshPy](https://github.com/inducer/meshpy)
  ![python]
  ![star](https://img.shields.io/github/stars/inducer/meshpy?style=flat)
  : Python interfaces to Triangle, TetGen, and gmsh.
* [netgen](https://github.com/NGSolve/netgen)
  ![cpp]
  ![star](https://img.shields.io/github/stars/NGSolve/netgen?style=flat)
  : an automatic 3d tetrahedral mesh generator.
* [Qhull](https://github.com/qhull/qhull)
  ![cpp]
  ![star](https://img.shields.io/github/stars/qhull/qhull?style=flat)
  : Convex hull, Delaunay triangulation, Voronoi diagrams, Halfspace intersection
* [Quartet](https://github.com/crawforddoran/quartet)
  ![cpp]
  ![star](https://img.shields.io/github/stars/crawforddoran/quartet?style=flat)
  : A tetrahedral meshing algorithm.
* [scipy.spatial](https://docs.scipy.org/doc/scipy-1.8.0/html-scipyorg/reference/spatial.html#delaunay-triangulation-convex-hulls-and-voronoi-diagrams)
  ![python]
  : Delaunay triangulation, convex hulls, and Voronoi diagrams.
* [TetGen](http://wias-berlin.de/software/tetgen/)
  ![cpp]
  : A quality tetrahedral mesh generator and a 3D Delaunay triangulator.
* [Triangle](http://www.cs.cmu.edu/~quake/triangle.html)
  ![cpp]
  : A two-dimensional quality mesh generator and Delaunay triangulator.
  * [python binding](https://github.com/drufat/triangle)
    ![python]
* [Voro++](http://math.lbl.gov/voro++/) 
  ![cpp]
  : 3D computations of the Voronoi tessellation.
* [WildMeshing](https://github.com/wildmeshing)
  : A collection of tools for robust mesh generation.
  * [TriWild](https://github.com/wildmeshing/TriWild) 
    ![cpp] 
    ![star](https://img.shields.io/github/stars/wildmeshing/TriWild?style=flat)
    TriWild: Robust Triangulation with Curve Constraints
  * [fTetWild](https://github.com/wildmeshing/fTetWild) 
    ![cpp] 
    ![star](https://img.shields.io/github/stars/wildmeshing/fTetWild?style=flat)
    Fast Tetrahedral Meshing in the Wild
  * [wildmeshing-python](https://github.com/wildmeshing/wildmeshing-python) ![python] ![star](https://img.shields.io/github/stars/wildmeshing/wildmeshing-python?style=flat)


## Boolean Operations
* [Carve](https://code.google.com/archive/p/carve/)
  * in [PyMesh](https://github.com/PyMesh/carve).
* CGAL:
  * Co-refinement for boolean operations in [Polygon Mesh Processing
 library](https://doc.cgal.org/latest/Manual/packages.html#PkgPolygonMeshProcessing)
  * 3D Boolean Operations on [Nef Polyhedra](https://doc.cgal.org/latest/Manual/packages.html#PkgNef3).
* [Clipper](http://www.angusj.com/delphi/clipper.php): clipping and offsetting 2D lines and polygons.
  * [Clipper2](https://github.com/AngusJohnson/Clipper2)
    ![star](https://img.shields.io/github/stars/AngusJohnson/Clipper2?style=flat)
    : a major update.
  * [pyclipper](https://github.com/fonttools/pyclipper)
    ![python]
    ![star](https://img.shields.io/github/stars/fonttools/pyclipper?style=flat)
* [Cork](https://github.com/gilbo/cork)
  ![star](https://img.shields.io/github/stars/gilbo/cork?style=flat)
* Geogram: tetrahedralize the meshes and compute the boolean operations between all tetrahedra. [code](https://github.com/BrunoLevy/geogram/blob/5adf8c1eb6155f254da247b079862d24d0027b0e/src/lib/geogram/mesh/mesh_intersection.cpp#L806).
* [Interactive And Robust Mesh Booleans](https://github.com/gcherchi/InteractiveAndRobustMeshBooleans) ![star](https://img.shields.io/github/stars/gcherchi/InteractiveAndRobustMeshBooleans?style=flat): This code is subject to continuous updates. [Cherchi et al., 2022](https://doi.org/10.1145/3550454.3555460).
  * [Fast And Robust Mesh Arrangements](https://github.com/gcherchi/FastAndRobustMeshArrangements/tree/dev-booleans) ![star](https://img.shields.io/github/stars/gcherchi/FastAndRobustMeshArrangements?style=flat)
* [mcut](https://github.com/cutdigital/mcut/)
  ![star](https://img.shields.io/github/stars/cutdigital/mcut?style=flat)
* [MeshIntersection](https://github.com/sallesviana/MeshIntersection)
  ![star](https://img.shields.io/github/stars/sallesviana/MeshIntersection?style=flat)
* MeshLab
  * Before v2021.05: based on resampling, [Marching intersections](https://doi.org/10.1109/SMA.2001.923401). A more efficient approach based on [LDNI](https://github.com/zishun/LDNI-based-Solid-Modeling).
  * After v2021.07: based on libigl's implementation of [Mesh arrangements for solid geometry](https://doi.org/10.1145/2897824.2925901).
* [OpenSCAD](https://openscad.org/)
  ![star](https://img.shields.io/github/stars/openscad/openscad?style=flat)
  : creating solid 3D CAD objects. using CGAL for CSG evaluation, OpenCSG for CSG previews.
* [QuickCSG](https://gitlab.inria.fr/quickcsg/quickcsg)
  * [project page](http://morpheo.inrialpes.fr/static/QuickCSG/), [Douze et al., 2017](https://arxiv.org/abs/1706.01558).


## Geodesic Distance
Survey paper: [Crane et al., 2020](https://arxiv.org/pdf/2007.10430.pdf)
* PDE-based
  * Heat method, [Crane et al., 2013](https://doi.org/10.1145/2516971.2516977).
    * Many implementations are available.
  * Fast Marching
    * In [gproshan](https://github.com/larc/gproshan) (CHE data structure). [MeshUtility](https://github.com/zishun/meshutility/) (OpenMesh data structure) ![python].
    * [Kimmel and Sethian 1998](https://doi.org/10.1073/pnas.95.15.8431), implemented in [pmp-library](https://github.com/pmp-library/pmp-library/blob/850f2fcbd4ec1d7efcbe5843af1ec1207361bfa6/src/pmp/algorithms/SurfaceGeodesic.h).
* Window propagation
  * MMP: an exact method proposed by [Mitchell-Mount-Papadimitriou 1987](https://doi.org/10.1137/0216045)
    * Kirsanov's [code](https://code.google.com/p/geodesic/)
    * In [UVAtlas](https://github.com/microsoft/UVAtlas/tree/master/UVAtlas/geodesics).
  * CH: [Chen and Han 1990](https://doc.cgal.org/latest/Surface_mesh_shortest_path/index.html)
  * ICH (Improved CH): [Xin and Wang 2009](https://sites.google.com/site/xinshiqing/knowledge-share)
  * VTP (Vertex-oriented Triangle Propagation)
    * [Du et al., 2020](https://doi.org/10.1016/j.cad.2020.102943): [code](https://github.com/djie-0329/PVTP)
    * [Qin et al., 2016](https://doi.org/10.1145/2897824.2925930): [code](https://github.com/YipengQin/VTP_source_code)
  * [GSP (Geodesic Source Propagation)](https://graphics.rwth-aachen.de/geodesic-source-propagation). code in its supplemental material.
* Graph-based: SVG (Saddle Vertex Graph), DGG (Discrete Geodesic Graphs),
  * [DGG-SVG](https://github.com/GeodesicGraph/DGG-SVG)


## Others
* [Directional](https://avaxman.github.io/Directional/tutorial/) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/avaxman/Directional?style=flat)
  : creating, manipulating, and visualizing directional fields on 3D meshes, based on both libigl and Eigen.
* [Instant Meshes](https://github.com/wjakob/instant-meshes)
  ![cpp]
  ![star](https://img.shields.io/github/stars/wjakob/instant-meshes?style=flat)
  : Interactive field-aligned mesh generator
* [mmg](https://github.com/MmgTools/mmg) 
  ![cpp]
  ![star](https://img.shields.io/github/stars/MmgTools/mmg?style=flat)
  : 2D and 3D surface and volume remeshing.
* [ShapeOp](https://github.com/EPFL-LGG/ShapeOp)
  ![cpp]
  : discrete geometry shaping with projections.
* [Draco](https://google.github.io/draco/): 
  ![cpp]
  ![star](https://img.shields.io/github/stars/google/draco?style=flat)
  : an open-source library for compressing and decompressing 3D geometric meshes and point clouds.
* [Robust Geometric Predicates](https://www.cs.cmu.edu/~quake/robust.html): adaptive precision floating-point arithmetic and fast robust predicates for computational geometry


# Books
* [Polygon Mesh Processing](http://pmp-book.org/): slides and code ![cpp]


# Courses
* [SGP Summer School Presentations](http://school.geometryprocessing.org/): from 2016.
* [Alec Jacobson's courses](https://github.com/alecjacobson)
* [Geometric Computing with Python](https://geometryprocessing.github.io/geometric-computing-python/)
* [Discrete Differential Geometry](https://www.cs.cmu.edu/~kmcrane/Projects/DDG/) by Keenan Crane
* [Summer Geometry Initiative](https://sgi.mit.edu/): by MIT


# Data
* [alecjacobson/common-3d-test-models](https://github.com/alecjacobson/common-3d-test-models)
  * more links inside
* [Data for machine learning](https://github.com/timzhang642/3D-Machine-Learning#datasets)


# Other Lists on Geometry Processing (GP)
* [SGP Software/Dataset Award List](http://awards.geometryprocessing.org/)
* [Mesh Repairing Software on the Web](http://meshrepair.org/)
* [Graphics Replicability Stamp Initiative](http://www.replicabilitystamp.org/)
* [awesome point cloud processing](https://github.com/mmolero/awesome-point-cloud-processing)
* [Directory of Computational Geometry Software](http://www.geom.uiuc.edu/software/cglist/)


# Lists on Other Computer Graphics Topics
* https://github.com/tensorush/Awesome-3D-Programming
* https://github.com/luisnts/awesome-computer-graphics
* https://github.com/waitin2010/awesome-computer-graphics
* https://github.com/jslee02/awesome-graphics-libraries
* https://github.com/ericjang/awesome-graphics
* https://github.com/eug/awesome-opengl
* https://github.com/zheng95z/fun-with-computer-graphics
* https://web.engr.oregonstate.edu/~zhange/hotlist.html


# Lists from Other Communities
* https://github.com/nschloe/awesome-scientific-computing
* https://github.com/eric-erki/awesome-gis/
* https://github.com/RoboDonut/awesome-spatial
* https://github.com/fepegar/awesome-medical-imaging
* https://github.com/ccamara/awesome-architecture



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[C]: https://img.shields.io/badge/c-%2300599C.svg?&logo=c&logoColor=white
[python]: https://img.shields.io/badge/python-3670A0?logo=python&logoColor=ffdd54
[matlab]: https://img.shields.io/badge/matlab-3670A0?logo=matlab
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└── README.md
Condensed preview — 1 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (24K chars).
[
  {
    "path": "README.md",
    "chars": 23563,
    "preview": "# Libraries for Geometry Processing (GP)\n<!--\n![star](https://img.shields.io/github/stars/<user>/<repo>?style=flat)\n-->\n"
  }
]

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This page contains the full source code of the zishun/awesome-geometry-processing GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 1 files (23.0 KB), approximately 7.2k 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.

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