Factual package intelligence from PyPI
Statistical tools for A/B testing - sample size calculation, power analysis, significance testing, Bayesian analysis, sequential testing, and business impact projections
pip install abverdict
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
abverdict publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 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 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .