Alternatives and similar repositories for causallib

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

• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,009Updated this week
• 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
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆598Updated this week
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• microsoft / causica
  ☆493Updated 6 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆723Updated 2 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆425Updated this week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,180Updated last year
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆524Updated last month
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆468Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆640Updated 5 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆222Updated 6 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,382Updated this week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,413Updated 3 weeks ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• DataForScience / Causality
  ☆466Updated last year
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,332Updated 11 months ago
• 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…
  ☆329Updated 8 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated 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
  ☆1,312Updated 3 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• py-why / EconML
  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…
  ☆4,166Updated last week
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆630Updated last year
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,467Updated 2 weeks ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• bd2kccd / py-causal
  ☆206Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year