Alternatives and similar repositories for CausalPy

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

• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆782Updated 2 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆640Updated 5 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆598Updated this week
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,168Updated this week
• pymc-labs / pymc-marketing
  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
  ☆873Updated this week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆330Updated last month
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆316Updated 2 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆222Updated 6 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,414Updated last week
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆524Updated 3 weeks ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,332Updated 11 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,344Updated last week
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,467Updated 2 weeks ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆767Updated 10 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated last week
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• microsoft / causica
  ☆493Updated 6 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆382Updated 10 months ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆612Updated this week
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,981Updated 2 weeks ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,410Updated this week
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• DataForScience / Causality
  ☆466Updated last year
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,008Updated 2 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year
• matthewwardrop / formulaic
  A high-performance implementation of Wilkinson formulas for Python.
  ☆392Updated 5 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
  ☆1,312Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year