A Python package for the statistical analysis of A/B tests
Small, well-tested utilities for online controlled experiments: sample size, CUPED, sequential testing, delta-method variance.
An experimental Python library for advanced A/B testing analysis, leveraging statistical techniques and ML for deeper insights.
