Causal Inference in Python
☆577Jun 21, 2025Updated last year
Alternatives and similar repositories for Causalinference
Users that are interested in Causalinference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tools for causal analysis☆1,082Mar 11, 2025Updated last year
- Repository with code and slides for a tutorial on causal inference.☆589Sep 23, 2019Updated 6 years ago
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- Some notes on Causal Inference, with examples in python☆156Feb 24, 2020Updated 6 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,236Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,351Jan 8, 2022Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,235Oct 13, 2025Updated 9 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,936Updated this week
- A Python package for modular causal inference analysis and model evaluations☆831May 26, 2026Updated 2 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,732Updated this week
- Python package for causal inference using Bayesian structural time-series models.☆241Jul 30, 2020Updated 5 years ago
- An index of algorithms for learning causality with data☆3,273Jan 22, 2025Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆356Apr 15, 2026Updated 3 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆805Dec 1, 2025Updated 7 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆290Jun 20, 2023Updated 3 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,419Jul 8, 2026Updated 2 weeks ago
- An R package for causal inference in time series☆1,848Mar 31, 2026Updated 3 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,477Jun 29, 2026Updated last month
- A data index for learning causality.☆493Oct 25, 2023Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆369Jul 17, 2020Updated 6 years ago
- A Python package for causal inference in quasi-experimental settings☆1,163Updated this week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,305Jul 22, 2026Updated last week
- ☆19Mar 22, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Python package for propensity score matching☆56Sep 20, 2021Updated 4 years ago
- Causal Discovery in Python. Learning causality from data.☆1,664Jul 11, 2026Updated 2 weeks ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,287Jul 17, 2026Updated last week
- Code to run submissions for the Atlantic Causal Inference Competition☆45Aug 14, 2024Updated last year
- Working repository for Causal Tree and extensions☆449Apr 12, 2025Updated last year
- Bayesian Additive Regression Trees For Python☆232Dec 22, 2023Updated 2 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆284Jan 5, 2026Updated 6 months ago
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,059Updated this week
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84May 23, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆62Oct 24, 2024Updated last year
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- Generalized Random Forests☆1,105Apr 30, 2026Updated 2 months ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- Uplift modeling package.☆377Oct 28, 2022Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- ☆534Dec 16, 2024Updated last year