Factual package intelligence from PyPI
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
pip install deep-rehab-pile
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.18>=3.6.0<2.5.0,>=2.0.0<1.9.0,>=1.6.0==1.4.0==1.3.2==2.3.0<2.4.0,>=2.2.2<3.11.0,>=3.9.0The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
deep-rehab-pile publishes 1 wheel and 1 source archive for version 0.1.3. 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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .