Alternatives and similar repositories for CausalImpact

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

• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• robjhyndman / forecast
  Forecasting Functions for Time Series and Linear Models
  ☆1,141Updated this week
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆443Updated last month
• CamDavidsonPilon / lifetimes
  Lifetime value in Python
  ☆1,467Updated 11 months ago
• grf-labs / grf
  Generalized Random Forests
  ☆1,025Updated last month
• akelleh / causality
  Tools for causal analysis
  ☆1,076Updated 2 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆638Updated 4 months ago
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,310Updated 3 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆997Updated this week
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,156Updated last week
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆498Updated 3 months ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,322Updated 11 months ago
• google / GeoexperimentsResearch
  An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …
  ☆137Updated 5 years ago
• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,126Updated this week
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,448Updated 7 months ago
• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆5,417Updated last week
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆926Updated 4 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆779Updated last month
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆348Updated 2 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆763Updated 10 months ago
• klarsen1 / MarketMatching
  ☆134Updated last year
• mplatzer / BTYDplus
  R package for Customer Behavior Analysis
  ☆189Updated last year
• FrankPortman / bayesAB
  🐢 bayesAB: Fast Bayesian Methods for A/B Testing
  ☆314Updated 3 years ago
• stan-dev / stan
  Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. …
  ☆2,662Updated last week
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,424Updated 3 months ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆851Updated 4 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆594Updated this week