pythonocc-core

About

pythonocc provides 3D modeling and dataexchange features. It is intended for CAD/PDM/PLM/BIM development. It is based on the OpenCascade Technology modeling kernel.

Latest release: pythonocc-core 7.9.0 (April 2025)

Features

pythonocc provides the following features:

Full access from Python to almost all of the thousand OpenCascade C++ classes. Classes and methods/functions share the same names, and, as possible as it can be, the same signature
3D visualization from the most famous Python Gui (tkinter, pyQt5 and 6, PySide2 and 6, wxPython)
3D visualization in a web browser using threejs or x3dom frameworks
3D visualization and work within a jupyter notebook
Data exchange using most famous formats IGES/STEP/STL/PLY/OBJ/GLTF
Utility Python classes/methods for Topology operations, inertia computations, and more

Try online at mybinder

Click to open a jupyter notebook running the latest pythonocc-core 7.9.0.

Install with conda

pythonocc provides precompiled conda packages (they depend on third part libraries made available from the conda-forge channel) for python 3.9, 3.10, 3.11 and 3.12. This will get you up and running in minutes whether you run win32/win64/linux64/osx64. Here is an example for python 3.10:

# first create an environment
conda create --name=pyoccenv python=3.10
conda activate pyoccenv
conda install -c conda-forge pythonocc-core=7.9.0

Other conda channels may provide pythonocc-core packages, check search Anaconda

Build from source

Read the INSTALL.md instructions where you find compilation instructions for all platforms.

Cited by

pythonocc is widely used in industrial and academic communities, with over 400 citations. View citations and applications on the Google Scholar pythonocc page

Cite as

pythonocc is registered as a Zenodo open access software and should be cited as:

Paviot, T. (2022). "pythonocc". Zenodo. https://doi.org/10.5281/zenodo.3605364

Professional support

pythonocc is backed by meeDIA, a company co-founded by pythonocc's creator and lead maintainer. For professional support inquiries, please contact us.

Other pythonocc related resources

Demos: python examples, as well as jupyter notebooks https://github.com/tpaviot/pythonocc-demos. A good place to start with pythonocc
Docker, binderhub: docker and online jupyter notebooks https://github.com/tpaviot/pythonocc-binderhub
Documentation: https://github.com/tpaviot/pythonocc-documentation
https://github.com/tpaviot/pythonocc-generator automates the production of SWIG interface files used for the OpenCascade python wrapper

License

pythonocc-core is licensed under the GNU Lesser General Public License version 3 as published by the Free Software Foundation. You can redistribute and/or modify it under the terms of this license.

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