Factual package intelligence from PyPI
MOOZY: A Patient-First Foundation Model for Computational Pathology.
pip install moozy
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<4,>=3.15<2,>=0.20<3,>=1.26<7,>=6<1,>=0.25<2,>=1.0<3,>=2.9<1,>=0.20<1,>=0.22moozy publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 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 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 .