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A/B Testing Resources Appendix

This GitHub is a companion to our blog post "Recommend Resources for Starting A/B Testing." If there are any resources you think we should add, please file an issue or add a pull request!

Starter Kit Overflow

Advanced Topics

Just For Fun

Web Apps Tools

Software Packages

  • Test and Roll - R package to set sample sizes based on test and roll framework.
  • Multtest - R package for resampling-based multiple hypothesis testing.
  • PyMC - Python package for bayesian analysis.
  • PlanOut - FB’s experimentation planning.
  • PlanAlyzer - Linter for experimental designs implemented in PlanOut.
  • Ax - Python package to implement adaptive experiments from FB.

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