Factual package intelligence from PyPI
PQC-native Merkle-tree commitments for AI training datasets. Prove what a model was trained on without revealing the data. SHA3-256 tree + ML-DSA signatures.
pip install pqc-training-data-transparency
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.1.0pqc-training-data-transparency 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.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
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 .
The project does not publish external project URLs in its PyPI metadata.