Causal Discovery in Python. Learning causality from data.
☆1,581Apr 20, 2026Updated last week
Alternatives and similar repositories for causal-learn
Users that are interested in causal-learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Trustworthy AI related projects☆1,116Nov 13, 2025Updated 5 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 6 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,086Updated this week
- Makes algorithms/code in Tetrad available in Python via JPype☆95Updated this week
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆440Updated this week
- 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.
- [Experimental] Global causal discovery algorithms☆112Apr 13, 2026Updated 2 weeks ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,649Jan 14, 2026Updated 3 months ago
- Example causal datasets with consistent formatting and ground truth☆108Apr 14, 2025Updated last year
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆675May 17, 2024Updated last year
- Causal discovery algorithms and tools for implementing new ones☆249Jul 10, 2025Updated 9 months ago
- An index of algorithms for learning causality with data☆3,261Jan 22, 2025Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,824Updated this week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,611Apr 20, 2026Updated last week
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆535Oct 1, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆529Dec 16, 2024Updated last year
- YLearn, a pun of "learn why", is a python package for causal inference☆429Jun 28, 2025Updated 10 months ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆222Mar 25, 2022Updated 4 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆82Feb 17, 2026Updated 2 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,462Jun 26, 2024Updated last year
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 2025Updated last year
- Causal discovery for time series☆106Feb 23, 2022Updated 4 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- ☆38Dec 23, 2025Updated 4 months 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.
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆65Apr 13, 2026Updated 2 weeks ago
- ☆205Mar 23, 2023Updated 3 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆145Jan 14, 2024Updated 2 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆62Mar 3, 2025Updated last year
- Continuous Industrial Process datasets for benchmarking Causal Discovery methods☆38Nov 2, 2022Updated 3 years ago
- Python Toolkit for Causal and Probabilistic Reasoning☆3,263Updated this week
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆625Mar 7, 2026Updated last month
- CPDAG Estimation using PC-Algorithm☆96Apr 18, 2022Updated 4 years ago
- A Python package for causal inference in quasi-experimental settings☆1,137Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆798Dec 1, 2025Updated 4 months ago
- A data index for learning causality.☆488Oct 25, 2023Updated 2 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆300Jan 6, 2026Updated 3 months ago
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆319May 1, 2025Updated 11 months ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Dec 1, 2020Updated 5 years ago
- Causal Inference and Discovery in Python by Packt Publishing☆1,004Mar 2, 2026Updated last month
- Provides the SELF criteria to learn causal structure. Please cite "Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao. SELF: Structural Equ…☆16Nov 22, 2017Updated 8 years ago