Alternatives and similar repositories for confidence:

Users that are interested in confidence are comparing it to the libraries listed below

• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆155Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆321Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated 9 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆116Updated 9 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆631Updated last month
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆107Updated last month
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆74Updated last week
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆345Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆217Updated 2 months ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆280Updated 10 months ago
• bayesianbandits / bayesianbandits
  A Pythonic microframework for multi-armed bandit problems
  ☆102Updated last month
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆314Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• allenchng / exp-readings
  A collection of resources for experimentation
  ☆64Updated 2 years ago
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆498Updated last month
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆327Updated 4 months ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆65Updated last year
• 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…
  ☆28Updated 2 years ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆466Updated last year
• eeghor / mta
  Multi-Touch Attribution
  ☆113Updated 3 years ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆385Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆955Updated this week
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆69Updated last year
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• google / tfp-causalimpact
  ☆99Updated last year
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆61Updated 4 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 4 years ago