Factual package intelligence from PyPI
Direct Epistemic Uncertainty Prediction (DEUP) for scikit-learn and gradient-boosting models, with first-class time-series support.
pip install deup
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.23>=1.3The compact report shows 12 of 27 declarations. The interactive dependency graph loads the complete metadata.
deup publishes 1 wheel and 1 source archive for version 0.4.3. 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 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .