Alternatives and similar repositories for causallib

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

• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆786Updated 2 weeks ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆687Updated last week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,077Updated last week
• microsoft / causica
  ☆519Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated last year
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 6 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆584Updated last week
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆460Updated 2 weeks ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,210Updated 2 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆744Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated this week
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,518Updated last week
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last month
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆298Updated 2 years ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,410Updated last year
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,477Updated 5 months ago
• DataForScience / Causality
  ☆470Updated last year
• bd2kccd / py-causal
  ☆205Updated 2 years 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 3 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 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
  ☆1,579Updated this week
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,498Updated this week
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆90Updated last week