Factual package intelligence from PyPI
Rating and pricing models: manual and experience rate build-up, credibility blending, rate indications and decomposition, GLM relativities and evaluation, and pricing scenarios.
pip install ratingmodels
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<0.47,>=0.46>=1.23>=2.2>=0.14ratingmodels publishes 1 wheel and 1 source archive for version 0.9.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
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 20 releases with files. The first dated release is ; 20 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .