Factual package intelligence from PyPI
K-ABENA : exclusion compensée d'échantillons par perte — même modèle, ~28% de calcul en moins (estimateur Horvitz-Thompson sans biais).
pip install kabena
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3,>=1.22kabena publishes 1 wheel and 1 source archive for version 2.1.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .