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
  ☆569Updated 4 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 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
  ☆1,305Updated 3 years ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆926Updated 4 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆239Updated 4 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,153Updated 3 weeks ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆770Updated last month
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆759Updated 9 months ago
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,739Updated last year
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆285Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆900Updated 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.
  ☆1,171Updated last year
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆421Updated last week
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆328Updated 4 years ago
• DataForScience / Causality
  ☆466Updated 10 months ago
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆710Updated 3 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆980Updated last week
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆678Updated this week
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,012Updated last year
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆894Updated 10 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆347Updated last year
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• facebookarchive / bootstrapped
  Generate bootstrapped confidence intervals for A/B testing in Python.
  ☆636Updated 5 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆696Updated 6 months ago
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,306Updated 10 months ago
• 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
  ☆852Updated 4 years ago