Matt52/bayesian-testing

ExpLab: A Warehouse Native Open-Source A/B Testing and Experimentation Analysis Platform

Fast and customizable framework for automatic and quick Causal Inference in Python

Automated Double Machine Learning (DoubleML + AutoML) pipeline for causal inference — estimate incremental impact, CATE & ROI of promotions, pricing and media.

A Pythonic microframework for multi-armed bandit problems

Strongly typed configurable building blocks for A/B testing ML research.

Uplift modeling and causal inference with machine learning algorithms

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation