Alternatives and similar repositories for bayesian-testing

Users that are interested in bayesian-testing are comparing it to the libraries listed below

• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• spotify / confidence
  ☆275Updated 8 months ago
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆109Updated 4 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆291Updated last year
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated 2 years ago
• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆160Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 3 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated 3 weeks ago
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 5 years ago
• shansfolder / AB-Test-Early-Stopping
  Evaluation of early stopping algorithms in A/B testing
  ☆17Updated 8 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆643Updated 6 months ago
• bayesianbandits / bayesianbandits
  A Pythonic microframework for multi-armed bandit problems
  ☆122Updated 2 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆21Updated 9 months ago
• edwinnglabs / karpiu
  Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please us…
  ☆17Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆51Updated 4 years ago
• google / tfp-causalimpact
  ☆117Updated last year
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆204Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆71Updated 2 years ago
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆58Updated 2 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆227Updated 7 months ago