- maintainers:
- documentation:
Overview
agx (a graph explorer) is toolkit for enumerating graphs in the context of structure prediction.
Installation
agx can be installed with pip:
pip install agraphx
Developer Setup
To develop with agx, you can clone the repo and use just and uv to setup the dev environment:
just setup
Usage
Examples of usage can be seen in cgexplore.
How To Cite
If you use agx, please cite this URL
And consider citing cgexplore
Acknowledgements
Funded by the European Union - Next Generation EU, Mission 4 Component 1 CUP E13C22002930006.
This work is now developed as part of the Tarzia Research Group at the University of Birmingham.
Metadata
Release files for agraphx 2026.3.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| agraphx-2026.3.11.0.tar.gz | 91.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agraphx-2026.3.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 182.3 MB
Release files / agraphx-2026.3.11.0.tar.gz
| Download URL | agraphx-2026.3.11.0.tar.gz |
|---|---|
| Size | 91.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / agraphx-2026.3.11.0-py3-none-any.whl
| Download URL | agraphx-2026.3.11.0-py3-none-any.whl |
|---|---|
| Size | 91.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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