Sequential testing for efficient and reliable comparison of stochastic algorithms.

Sequential Hypothesis Testing with e-Values and p-Values

Fixed Sequence Multiple Testing Procedures

Sequential A/B Testing Framework in Python

Bayesian multi-armed bandits for continuous prompt experimentation: Thompson sampling routes traffic to the best prompt variant and a stopping rule promotes a winner without a fixed-N A/B test. Zero dependencies, TypeScript-first.

A/B test analysis that is correct by default, informative by design, and composable by construction. 88 classes, 60+ paper references.

Bayesian A/B Testing for Proportions

A/B testing and randomized experiments playbook: hypothesis testing, confidence intervals, sample size, sequential testing (mSPRT), and multi-armed bandits

Causal bandit orchestration platform for real-time adaptive experimentation, sequential testing, and interference-aware decisioning.

A solution for simulating realistic exoplanet transit light curves and training a classifier to detect exoplanet transits

Ad campaign performance evaluation using AB Testing

Small, well-tested Python package for online controlled experiments: sample size, CUPED, mSPRT sequential tests, delta-method ratio metrics.

R package built to run nonparametric sequential tests and online change point detection algorithms.

Full-stack A/B testing engine: frequentist tests, Bayesian inference, sequential O'Brien-Fleming bounds, and multi-metric batch analysis with one-click PDF report export.

an example CRUD services using NestJS + Mongodb

Anytime-valid sequential testing.

[Alpha / WIP] Agent-first CLI for Bayesian and sequential A/B/n experiment decisions with JSON, CSV, XLSX, and text inputs.