pythonocc is a python package whose purpose is to provide 3D modeling features. It is intended to CAD/PDM/PLM and BIM related development.

Latest release : pythonocc-core 7.4.0 (february 2020)

pythonocc provides the following features:

• a full access from Python to almost all af 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 (pyQt, PySide1 and 2, wxPython)

• 3D visualization in a web browser using WebGl and/or x3dom renderers

• 3D visualization and work within a jupyter notebook

• Various utility Python classes/methods for DataExchange, Topology operations, intertia computations etc.

Click to open a jupyter notebook running latest pythonocc-core 7.4.0, gmesh 4.5.3 (http://gmsh.info/) and latest IfcOpenshell (https://github.com/IfcOpenShell/IfcOpenShell/tree/v0.6.0) dev branch.

pythonocc provides precompiled conda packages (they depend on third part libraries made available from the dlr-sc and conda-forge conda channels) for python 3.6 and 3.7. This will get you up and running in minutes whether you run win32/win64/linux64/osx64. Here is an example for python 3.7:

# first create an environment
conda create --name=whatever-name python=3.7
source activate whatever-name
conda install -c dlr-sc pythonocc-core=7.4.0

Conda packages are provided for python 3.6 and 3.7 at dlr-sc channel. conda-forge provides 3.7 and 3.8 binaries:

# first create an environment
conda create --name=whatever-name python=3.8
source activate whatever-name
conda install -c conda-forge pythonocc-core=7.4.0

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

• Demos: python examples, as well as jupyter notebooks https://github.com/tpaviot/pythonocc-demos

• Docker, binderhub: docker and online jupyter notebooks https://github.com/tpaviot/pythonocc-binderhub

• Documentation: https://github.com/tpaviot/pythonocc-documentation

We use the following online resources:

• Homepage: http://www.pythonocc.org

• Mailing list: http://groups.google.com/group/pythonocc

• Twitter : https://twitter.com/pythonocc

• LGTM code quality review: https://lgtm.com/projects/g/tpaviot/honocc-core/

• Codacy quality checker: https://app.codacy.com/app/tpaviot/pythonocc-core

From release 7.4.0, pythonocc-core depends on the official OpenCascade-7.4.0 library (https://dev.opencascade.org)

Former releases rely on oce (OpenCascade Community Edition), available at
oce C++ library / CAD kernel.

You can redistribute it and/or modify it under the terms of the GNU Lesser General Public License version 3 as published by the Free Software Foundation.