Factual package intelligence from PyPI
E2AM — Energy Efficient AI Models: automatic energy, carbon, and performance profiling for AI training.
pip install e2am
PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.6>=1.23>=11.495.46>=5.9>=2.0>=6.0>=13.0>=0.9The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.
e2am publishes 1 wheel and 1 source archive for version 0.1.0. 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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .