Open Source
Tools and notebooks for causal inference, A/B testing, and experimentation - built for practitioners.
Causal Inference: a brief introduction | Discover how causal inference separates correlation from causation to drive better decisions. This fast-paced introduction covers key concepts—treatments, counterfactuals, DAGs, confounding, tests vs. observational data and tools like A/B tests and a real case with DiD and Synthetic Control Methods (SCM).
Análisis de pricing con inferencia causal usando Synthetic Control para estimar el impacto de cambios de precio y construir contrafactuales a nivel de mercado.
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Benchmarking (Claude, Google Gemini and ChatGPT): analyzing AB test data with LLMs
Simple Bayesian AB Test Calculator
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DiD calculator with DoubleML library
MDE calculator for AB testing projects to calculate your sample size properly.
Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit!
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