Alternatives and similar repositories for lifetimes:

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

• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,416Updated 4 months ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆771Updated 4 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆632Updated 2 months ago
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,169Updated this week
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆168Updated 7 months ago
• zalando / expan
  Open-source Python library for statistical analysis of randomised control trials (A/B tests)
  ☆338Updated last year
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆851Updated 6 months ago
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆799Updated this week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,555Updated 7 months ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆281Updated 10 months ago
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆645Updated last year
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆375Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,431Updated this week
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,731Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated 9 months ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,139Updated 3 weeks ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆728Updated 3 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆346Updated last year
• andosa / treeinterpreter
  ☆757Updated last year
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆899Updated 3 years ago
• rhiever / datacleaner
  A Python tool that automatically cleans data sets and readies them for analysis.
  ☆1,063Updated 5 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆500Updated last year
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,323Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆958Updated this week
• mplatzer / BTYDplus
  R package for Customer Behavior Analysis
  ☆189Updated 11 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆629Updated last year
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,627Updated 4 months ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,124Updated 2 months ago