Alternatives and similar repositories for causality

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

• laurencium / Causalinference
  Causal Inference in Python
  ☆571Updated 2 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,755Updated 2 years ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆929Updated 4 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆776Updated 2 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆903Updated 4 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆241Updated 5 years ago
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆911Updated 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
  ☆1,315Updated 3 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,191Updated last week
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆712Updated 3 years ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,191Updated last year
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆562Updated last year
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,358Updated last year
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆427Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆784Updated 4 months ago
• facebookarchive / bootstrapped
  Generate bootstrapped confidence intervals for A/B testing in Python.
  ☆637Updated 5 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,015Updated last year
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆863Updated 5 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,133Updated last year
• DataForScience / Causality
  ☆468Updated last year
• pgmpy / pgmpy_tutorials
  Tutorials on Causal Inference and pgmpy
  ☆385Updated 2 weeks ago
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆698Updated 3 weeks ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆839Updated 5 months ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆153Updated 5 years ago