Factual package intelligence from PyPI
mlmm - ML/MM toolkit for enzyme reaction analysis
pip install mlmm-toolkit
PyPI declares 39 unique dependency rules for this release. Environment markers are shown when supplied by the project.
~=2.8.0<2.5,>=2.0<2.0,>=1.80>=3.26.0<7.0,>=6.0<9.0,>=8.1>=6.1.1The compact report shows 12 of 39 declarations. The interactive dependency graph loads the complete metadata.
mlmm-toolkit publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 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 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .