Factual package intelligence from PyPI
aimmd (AI for Molecular Mechanism Discovery) autonomously steers (a large number of) molecular dynamics simulations to efficiently sampleand understand rare transition events.
pip install aimmd
PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.
aimmd publishes 0 wheels and 1 source archive for version 0.10.1. Wheel platform tags: No wheel platform tags.
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 5 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .