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.
☆8,263Aug 13, 2026Updated this week
Alternatives and similar repositories for dowhy
Users that are interested in dowhy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uplift modeling and causal inference with machine learning algorithms☆5,952Updated this week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,753Updated this week
- Repository with code and slides for a tutorial on causal inference.☆590Sep 23, 2019Updated 6 years ago
- An index of algorithms for learning causality with data☆3,275Jan 22, 2025Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,236Oct 13, 2025Updated 10 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.
- Causal Discovery in Python. Learning causality from data.☆1,669Jul 11, 2026Updated last month
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,473Updated this week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,353Jan 8, 2022Updated 4 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,684Updated this week
- A Python package for modular causal inference analysis and model evaluations☆833May 26, 2026Updated 2 months ago
- Tools for causal analysis☆1,082Mar 11, 2025Updated last year
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,431Jul 8, 2026Updated last month
- Causal Inference in Python☆578Jun 21, 2025Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,176Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Fit interpretable models. Explain blackbox machine learning.☆6,916Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆806Dec 1, 2025Updated 8 months ago
- An R package for causal inference in time series☆1,851Mar 31, 2026Updated 4 months ago
- Python Toolkit for Causal and Probabilistic Reasoning☆3,313Updated this week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,707Jan 14, 2026Updated 6 months ago
- Deep universal probabilistic programming with Python and PyTorch☆9,037Aug 4, 2026Updated last week
- ☆533Dec 16, 2024Updated last year
- Trustworthy AI related projects☆1,132Jun 1, 2026Updated 2 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,523Jul 13, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A unified framework for machine learning with time series☆9,918Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,705Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,066May 22, 2026Updated 2 months ago
- An open source python library for automated feature engineering☆7,664Jul 27, 2026Updated 2 weeks ago
- Lime: Explaining the predictions of any machine learning classifier☆12,167Jul 25, 2024Updated 2 years ago
- ☆221Dec 17, 2025Updated 7 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated 3 months ago
- Causal Graphical Models in Python☆250Feb 13, 2023Updated 3 years ago
- A data index for learning causality.☆493Oct 25, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- DoubleML - Double Machine Learning in Python☆769Updated this week
- Automatic extraction of relevant features from time series:☆9,284Jul 6, 2026Updated last month
- Modin: Scale your Pandas workflows by changing a single line of code☆10,393Feb 10, 2026Updated 6 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,400Feb 19, 2025Updated last year
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,117Jun 29, 2026Updated last month
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,509Apr 1, 2026Updated 4 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,736Updated this week