Factual package intelligence from PyPI
High-performance interpretable rule-based ML — HUG-IML classifier, adaptive binning, EBM-style plots, pattern pruning, and benchmark runner (IEEE Access 2024).
pip install hugiml-core
PyPI declares 57 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22<1.17,>=1.9>=1.2>=1.5>=21.0The compact report shows 12 of 57 declarations. The interactive dependency graph loads the complete metadata.
hugiml-core publishes 20 wheels and 1 source archive for version 1.1.19. Wheel platform tags: macosx_15_0_arm64, macosx_15_0_x86_64, manylinux_2_28_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
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 21 releases with files. The first dated release is ; 21 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .