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Open-source Python library for statistical analysis of randomised control trials (A/B tests)

A Python package for the statistical analysis of A/B tests.

Ambrosia is a Python library for A/B tests design, split and result measurement

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

A/B testing for Wagtail

Bayesian A/B testing

📈🔍 Lets Python do AB testing analysis.

Machine learning based causal inference/uplift in Python

ABacus: fast hypothesis testing and experiment design solution

Fast Bayesian A/B and Multivariate testing.

Do causal inference more casually.

Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions

A simple to use AB testing framework that lets anyone perform bayesian data analysis

Python SDK client for Split Software

Easy split testing for Django.

A web application to design and evaluate the results of A/B tests.

A tool for making AB tests with Mixpanel API

Python package for Bayesian & Frequentist A/B Testing

An approach of the development an automated A/B experiments platform