Small, well-tested utilities for online controlled experiments: sample size, CUPED, sequential testing, delta-method variance.
Sequential A/B Testing Framework in Python
A/B test analysis that is correct by default, informative by design, and composable by construction. 88 classes, 60+ paper references.