Causal Models Python Packages

causallib

A Python package for modular causal inference analysis and model evaluations

pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

lingam

Python package for causal discovery based on LiNGAM.

bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

cdt

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

pytorch-tcn

(Realtime) Temporal Convolutions in PyTorch

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

pylift

Uplift modeling and evaluation library. Actively maintained pypi version.

actualcauses

Code for the python model `actualcauses` that implements algorithms for HP-causes identification.

jupyterlab-dagitty

JupyterLab renderer of dagitty causal diagrams

esa-2scm

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

ylearn

YLearn, a pun of "learn why", is a python package for causal inference

pqp

High-performance causal identification in Rust.

tfce-mediation

Fast regression and mediation analysis of vertex or voxel MRI data with TFCE

scmopy

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

dagsim

A framework and specification language for simulating data based on graphical models

torch-utilities

Simplifying audio and deep learning with PyTorch.

iscan-dag

A Python 3 package for identifying distribution shifts (a.k.a feature-shifts) between datasets. Official implementation of the paper: "iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models".

causationentropy

Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)

pgmpy-rcr

Python Toolkit for Causal and Probabilistic Reasoning

cause2e

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

tmi-viewer

Fast regression and mediation analysis of vertex or voxel MRI data with TFCE