bgeils

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.

causalml

Uplift modeling and causal inference with machine learning algorithms

motionity

The web-based motion graphics editor for everyone 📽

causalnex

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

fastapi-react

🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

causality

Tools for causal analysis

dash-recipes

A collection of scripts and examples created while answering questions from the greater Dash community

react-timeseries-charts

Declarative and modular timeseries charting components for React

multivariate-time-series-data

cesium

Machine Learning Time-Series Platform

lineapy

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

causica

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

twelvedata-python

Twelve Data Python Client - Financial data API & WebSocket

project-azua

Data Efficient Decision Making

causal_impact

Python package for causal inference using Bayesian structural time-series models.

showwhy

uplot-wrappers

React, Vue.js and Svelte wrappers for uPlot that allow you to work with charts declaratively inside your favorite framework

dodiscover

[Experimental] Global causal discovery algorithms

intro_bayesian_causal

Repository for Introduction to Bayesian Estimation of Causal Effects

F1_ADX

Time-Series-Deconfounder

Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar

pywhy-graphs

[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

gpucsl

Constraint-based Causal Structure Learning on GPUs.

Not-All-Causal-Inference-is-the-Same

Official code repository to the corresponding paper.

TimeAwarePC

A python package for finding causal functional connectivity from neural time series observations.

causal_overhypotheses

Code for Dataset and Benchmarks Submission, Neurips 2022

pywhy-notes

Keep track of discussions and meeting minutes.

ppscore

Predictive Power Score (PPS) in Python