https://github.com/block-foundation/pythonocc-core

Python package for 3D CAD/BIM/PLM/CAM

https://github.com/block-foundation/pythonocc-core

Repository

Python package for 3D CAD/BIM/PLM/CAM

https://github.com/block-foundation/pythonocc-core/blob/master/

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pythonocc-core
--------------

About
-----

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

Latest release: [pythonocc-core 7.7.0 (December 2022)](https://github.com/tpaviot/pythonocc-core/releases/tag/7.7.0)

Features
--------
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, inertia computations etc.

Cite as
-------

pythonocc is widely used in the industrial and academic communities. It is registered as a Zenodo open caccess software (https://zenodo.org/record/7471333) and should be cited as:

Thomas Paviot. (2022). pythonocc (7.7.0). Zenodo. https://doi.org/10.5281/zenodo.3605364

Try online at mybinder
----------------------

Click [![Binder](http://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/tpaviot/pythonocc-binderhub/7.7.0) to open a jupyter notebook running latest pythonocc-core 7.7.0, gmesh () and latest IfcOpenshell () dev branch.

Download/install binaries for Linux/OSX/Windows
-----------------------------------------------

pythonocc provides precompiled [conda packages](https://anaconda.org/pythonocc/pythonocc-core) (they depend on third part libraries made available from the dlr-sc and conda-forge conda channels) for python 3.8, 3.9 and 3.10. This will get you up and running in minutes whether you run win32/win64/linux64/osx64. Here is an example for python 3.9:

```bash
# first create an environment
conda create --name=pyoccenv python=3.9
source activate pyoccenv
conda install -c conda-forge pythonocc-core=7.7.0
```

Other conda channels may provide pythonocc-core packages, check https://anaconda.org/search?q=pythonocc-core.

Build from source
-----------------

Read the [INSTALL.md](https://github.com/tpaviot/pythonocc-core/blob/master/INSTALL.md) instructions where you find compilation instructions for all platforms.

Other pythonocc related resources
---------------------------------

*   Demos: python examples, as well as jupyter notebooks . A good place to start with pythonocc
*   Docker, binderhub: docker and online jupyter notebooks 
*   Documentation: 
*    automates the production of SWIG interface files used for the OpenCascade python wrapper

License
-------

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.

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