Factual package intelligence from PyPI
BSI/G7 SBOM-for-AI implementation — software, models, datasets, infrastructure, security, KPIs. With TIBET provenance + CBOM evidence linkage.
pip install tibet-ai-sbom
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.4.0>=0.5.0>=0.2.0tibet-ai-sbom publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
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 ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .