Factual package intelligence from PyPI
AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
pip install agilerl
PyPI declares 50 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.7.0>=0.3.7>=1.3.0>=0.4.2>=2.5.0>=1.0.0>=3.15.0>=1.3.2>=0.4.31>=0.4>=3.9.4>=0.5.2<3.0,>=2.0.0>=2.3.0>=20.0>=2.2.3<1.25,>=1.23.1>=3.8.0The compact report shows 18 of 50 declarations. The interactive dependency graph loads the complete metadata.
agilerl publishes 1 wheel and 1 source archive for version 2.8.1. 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 does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 136 releases with files. The first dated release is ; 48 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.