Factual package intelligence from PyPI
The trust layer for model post-training: reproducibility, contamination-safe eval, reward-hacking detection, supply-chain scanning, TIM detection, retraction monitoring, LoRA lineage signing, Sigstore
pip install provenir
PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.7.0>=4.12.0The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.
provenir publishes 1 wheel and 1 source archive for version 0.8.0. 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 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .