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Bayesian-testing is a small Python package for quickly evaluating A/B (or A/B/C/…) tests using Bayesian methods. It provides specialized test implementations for various data types, including binary, normal (with unknown variance), lognormal with zeros, discrete, Poisson, and exponential data, catering to conversion-like, revenue-like, and profit-like scenarios. The project is MIT-licensed and aimed at simplifying Bayesian A/B testing workflows.
AI named bayesian_testing in December 2025.