Factual package intelligence from PyPI
Machine learning models for chemistry and materials science by the FAIR Chemistry team
pip install fairchem-core
PyPI declares 47 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.10.0>=3.26.0==0.0.18>=0.5>=0.27.1<=1.7.3,>=1.6.2>=2026.2.18>=0.62.0<2.5,>=2.0The compact report shows 12 of 47 declarations. The interactive dependency graph loads the complete metadata.
fairchem-core publishes 1 wheel and 1 source archive for version 2.21.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 40 releases with files. The first dated release is ; 21 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .