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PyTorch implementation of So3krates neural network potential for atomistic simulations
pip install so3krates-torch
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.26.0>=3.14.0>=0.8.0>=1.26.4>=3.0.0>=2.0>=6.0.2>=2.6.0>=0.3.0==2.7.0>=1.0.0The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
So3krates-torch publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .