Alternatives and similar repositories for python-causality-handbook

Users that are interested in python-causality-handbook are comparing it to the libraries listed below

• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,462Updated this week
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,085Updated 2 weeks ago
• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆5,697Updated 2 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
  ☆1,332Updated 4 years ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,420Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆702Updated this week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,089Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆804Updated 9 months ago
• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆788Updated last month
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆747Updated 3 years ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆980Updated last month
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆359Updated last year
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,527Updated 3 weeks ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆660Updated last year
• grf-labs / grf
  Generalized Random Forests
  ☆1,062Updated 3 months ago
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,911Updated last week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,215Updated 3 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆575Updated 6 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆481Updated 2 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆582Updated 6 years 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.
  ☆1,021Updated this week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,486Updated 6 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• microsoft / causica
  ☆521Updated last year
• DataForScience / Causality
  ☆469Updated last year
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆341Updated last year
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆795Updated 2 years ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,586Updated last week
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• bashtage / linearmodels
  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
  ☆1,027Updated this week