Core packages of the COMPAS framework.
The COMPAS framework
The COMPAS framework is an open-source, Python-based framework for computational research and collaboration in architecture, engineering, digital fabrication and construction.
The framework consists of a general-purpose core library, written in pure Python, and a growing collection of extensions that provide easy access to peer-reviewed research, state-of-the-art external libraries such as CGAL, libigl and Triangle, and tools with specialized functionality for AEFC applications such as Abaqus, ANSYS, SOFISTIK, ROS, etc.
COMPAS has dedicated packages for working with Rhino, Grasshopper, and Blender, but it can be used in any environment that supports Python scripting. It is available on PyPI and conda-forge and can be easily installed using popular package managers on multiple platforms.
The recommended way to install COMPAS is to use Anaconda/conda:
conda config --add channels conda-forge
conda install COMPAS
For other installation options, see https://compas.dev/compas/latest/installation.html
Questions and feedback
The COMPAS framework has a forum: https://forum.compas-framework.org/ for questions and discussions.
If you find a bug, please help us solve it by filing a report.
If you want to contribute, check out the contribution guidelines.
See changes between releases on the changelog.
The main library of COMPAS is released under the MIT license.
COMPAS is developed by a small team of core developers (
compas-dev) and with the support of contributers from the open source community.
See the list of authors for a complete overview...
Presented by Gonzalo during the session on Open Source Robotic Fabrication
"By embracing open source we can enable a level of creativity that is not possible otherwise." ⭐ Also, all of the code shown is standalone runnable, and none of the #nocode nodes are black boxes. -- @gnz #dinaconch pic.twitter.com/ril45pbRdP— Olеϧ Lаvrоvsky (@loleg) October 29, 2021
This is fundamentally a very accessible tool to anyone with a bit of Python experience. It should be quite fun to get this to work in Blender.
For a really fun challenge, help Gonzalo and students to make algorithmic light art. Define some fancy paths for his robots-with-lasers. (Details to follow)