Factual package intelligence from PyPI
TurboQuant — model quantization and optimization toolkit for edge and resource-constrained deployment.
pip install turboquant-ml
PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.30>=2.18>=1.24>=5.9>=6.0>=13.7>=2.2>=4.40>=0.12The compact report shows 12 of 38 declarations. The interactive dependency graph loads the complete metadata.
turboquant-ml 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 .