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
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆109Updated 5 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• spotify / confidence
  ☆275Updated 9 months ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 5 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 4 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆644Updated 7 months ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated last week
• google / tfp-causalimpact
  ☆117Updated last year
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 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
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆21Updated 10 months ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 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
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆206Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆262Updated last year
• bayesianbandits / bayesianbandits
  A Pythonic microframework for multi-armed bandit problems
  ☆122Updated last month
• py-why / causaltune
  AutoML for causal inference.
  ☆228Updated 8 months ago
• copperheadCrotch / Sequential-Probability-Ratio-Test
  Python package for Wald's sequential probability ratio test
  ☆47Updated last year