COMPAS package for Computational Graphic Statics
Project description
compas_ags
compas_ags is a COMPAS package for Computational Graphic Statics. It combines implementations of the following papers:
- Algebraic Graph Statics
- Bi-directional Algebraic Graph Statics
- Load-path optimisation of funcicular networks
See "Publications" for more info.
Getting Started
Have a look at the "Getting Started" instructions in the docs: https://blockresearchgroup.github.io/compas_ags/gettingstarted.html.
First Steps
A good place to start exploring AGS through compas_ags are the tutorial, and the examples.
Questions and feedback
For questions and feedback, read through or post something in the compas_ags category of the COMPAS forum.
Issue tracker
If you find a bug, please help us solve it by filing a report.
Contributing
If you want to contribute, check out our developer guidelines.
License
compas_ags is licensed under the MIT License. See LICENSE, for more information.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file compas-ags-1.0.5.tar.gz.
File metadata
- Download URL: compas-ags-1.0.5.tar.gz
- Upload date:
- Size: 40.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0300aaa8479a60d0e24c0ce77747842255a6b28b103fa00c2f89015a24b46b7 |
|
| MD5 | 74da6246cba9ee58d4384b1499306243 |
|
| BLAKE2b-256 | ea06903aeda784a8e0a5127e43d8d47ee23cd3478cf86ba4baa206f165377eb5 |
File details
Details for the file compas_ags-1.0.5-py2.py3-none-any.whl.
File metadata
- Download URL: compas_ags-1.0.5-py2.py3-none-any.whl
- Upload date:
- Size: 53.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 58c3e0ebf47b448bebfc632b61bad79fae88ecdf4c791cc942ef2b74b1b99668 |
|
| MD5 | a56facc0c760464a112f87faf991fb4b |
|
| BLAKE2b-256 | 4da6d2271367f6f33868fef81eed902ba8c0be70cfa0000f7c6fdd1e67bb172f |
