Causal Inference in Python
☆578Sep 26, 2026Updated this week
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☆1,081Mar 11, 2025Updated last year
- Repository with code and slides for a tutorial on causal inference.☆592Sep 23, 2019Updated 7 years ago
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- Some notes on Causal Inference, with examples in python☆157Feb 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…☆8,331Updated 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☆1,354Jan 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.☆1,242Oct 13, 2025Updated 11 months ago
- Uplift modeling and causal inference with machine learning algorithms☆6,009Aug 20, 2026Updated last month
- A Python package for modular causal inference analysis and model evaluations☆837May 26, 2026Updated 4 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,800Updated this week
- Python package for causal inference using Bayesian structural time-series models.☆242Jul 30, 2020Updated 6 years ago
- An index of algorithms for learning causality with data☆3,286Jan 22, 2025Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆359Apr 15, 2026Updated 5 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆813Dec 1, 2025Updated 9 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆292Jun 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.☆3,473Jul 8, 2026Updated 2 months ago
- An R package for causal inference in time series☆1,863Mar 31, 2026Updated 5 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,481Aug 31, 2026Updated 3 weeks ago
- A data index for learning causality.☆494Oct 25, 2023Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆368Jul 17, 2020Updated 6 years ago
- A Python package for causal inference in quasi-experimental settings☆1,196Updated this week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,341Updated this week
- ☆19Mar 22, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Causal Discovery in Python. Learning causality from data.☆1,690Sep 4, 2026Updated 3 weeks ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,299Sep 17, 2026Updated last week
- Code to run submissions for the Atlantic Causal Inference Competition☆46Aug 14, 2024Updated 2 years ago
- 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 8 months ago
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,071Sep 21, 2026Updated last 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
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆64Oct 24, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- Generalized Random Forests☆1,113Apr 30, 2026Updated 4 months ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆21Nov 9, 2016Updated 9 years ago
- Uplift modeling package.☆376Oct 28, 2022Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Mar 23, 2020Updated 6 years ago
- ☆536Sep 19, 2026Updated last week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,725Jan 14, 2026Updated 8 months ago