Alternatives and similar repositories for python-causality-handbook

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

• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆1,069Updated 7 months ago
• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,379Updated last week
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,331Updated 3 years ago
• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆5,632Updated last week
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆786Updated 4 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆675Updated this week
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆351Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,063Updated this week
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,392Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆797Updated 7 months ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆942Updated last week
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆741Updated 2 years 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…
  ☆7,812Updated last week
• grf-labs / grf
  Generalized Random Forests
  ☆1,052Updated last month
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,498Updated last month
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• HeberTU / curso-python-cac
  Material del curso de programación en Python del Colegio de Actuarios de Cataluña
  ☆54Updated 2 months ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,206Updated last month
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 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.
  ☆981Updated this week
• rguo12 / awesome-causality-algorithms
  An index of algorithms for learning causality with data
  ☆3,219Updated 9 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• microsoft / causica
  ☆511Updated 11 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,464Updated 4 months ago
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆784Updated 2 years ago
• pymc-devs / pymc-resources
  PyMC educational resources
  ☆2,043Updated 10 months ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,561Updated 3 weeks ago
• bashtage / linearmodels
  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
  ☆1,016Updated 3 weeks ago