A Python library that helps data scientists to infer causation rather than observing correlation.
☆2,466Jun 26, 2024Updated last year
Alternatives and similar repositories for causalnex
Users that are interested in causalnex are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,141Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆5,858May 16, 2026Updated 3 weeks ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,654Updated this week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,227Oct 13, 2025Updated 7 months ago
- A Python package for modular causal inference analysis and model evaluations☆818May 26, 2026Updated 2 weeks ago
- 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.
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆10,882Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months ago
- An index of algorithms for learning causality with data☆3,269Jan 22, 2025Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,149Jun 1, 2026Updated last week
- Python Toolkit for Causal and Probabilistic Reasoning☆3,275Updated this week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,675Jan 14, 2026Updated 4 months ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆680May 26, 2026Updated 2 weeks ago
- Causal Discovery in Python. Learning causality from data.☆1,623Updated this week
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,372Apr 8, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- QuantumBlack Matplotlib styles☆407Jul 10, 2024Updated last year
- ☆528Dec 16, 2024Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated last month
- Python package for causal discovery based on LiNGAM.☆491May 28, 2026Updated last week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,244Updated this week
- Trustworthy AI related projects☆1,124Jun 1, 2026Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,518Jul 13, 2025Updated 10 months ago
- Extra blocks for scikit-learn pipelines.☆1,397Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆630Mar 7, 2026Updated 3 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆671Jan 13, 2025Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,871Jun 1, 2026Updated last week
- Tools for causal analysis☆1,080Mar 11, 2025Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,551Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,053May 22, 2026Updated 2 weeks ago
- An R package for causal inference in time series☆1,836Mar 31, 2026Updated 2 months ago
- A unified framework for machine learning with time series☆9,798Updated this week
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆535Oct 1, 2021Updated 4 years ago
- Causal Inference in Python☆576Jun 21, 2025Updated 11 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.
- uplift modeling in scikit-learn style in python☆805Oct 21, 2023Updated 2 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,515Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,876Mar 24, 2026Updated 2 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,400Feb 19, 2025Updated last year
- Algorithms for explaining machine learning models☆2,628Oct 17, 2025Updated 7 months ago
- [Experimental] Global causal discovery algorithms☆112May 25, 2026Updated 2 weeks ago