Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
☆615Mar 7, 2026Updated 2 weeks ago
Alternatives and similar repositories for bnlearn
Users that are interested in bnlearn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python library for Causal AI☆3,215Updated this week
- 🧮 Bayesian networks in Python☆264Dec 2, 2025Updated 3 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,444Jun 26, 2024Updated last year
- Causal Discovery in Python. Learning causality from data.☆1,563Feb 18, 2026Updated last month
- PyBNesian is a Python package that implements Bayesian networks.☆48Aug 12, 2025Updated 7 months ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆671May 17, 2024Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆793Dec 1, 2025Updated 3 months ago
- Python package for causal discovery based on LiNGAM.☆473Mar 2, 2026Updated 3 weeks ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,226Oct 13, 2025Updated 5 months ago
- A Python package for modular causal inference analysis and model evaluations☆811Apr 6, 2025Updated 11 months ago
- Association ruled based networks using graphical Hypergeometric Networks.☆34Feb 21, 2026Updated last month
- A resource list for causality in statistics, data science and physics☆268Jan 28, 2026Updated last month
- A Python package for causal inference in quasi-experimental settings☆1,126Mar 16, 2026Updated last week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,622Jan 14, 2026Updated 2 months ago
- Active Bayesian Causal Inference (Neurips'22)☆60Jul 29, 2024Updated last year
- Trustworthy AI related projects☆1,110Nov 13, 2025Updated 4 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…☆7,999Mar 14, 2026Updated last week
- AutoML for causal inference.☆237Dec 18, 2024Updated last year
- Bayesian network structure learning☆18May 22, 2022Updated 3 years ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,512Mar 6, 2025Updated last year
- An extension of XGBoost to probabilistic modelling☆695Dec 11, 2025Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆718Mar 13, 2026Updated last week
- ☆527Dec 16, 2024Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,765Mar 13, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,525Updated this week
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Matlab version)☆15Nov 17, 2020Updated 5 years ago
- An index of algorithms for learning causality with data☆3,250Jan 22, 2025Updated last year
- Tutorials on Causal Inference and pgmpy☆390Aug 7, 2025Updated 7 months ago
- Project on Causal Machine learning CS 7290☆16Dec 7, 2019Updated 6 years ago
- Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series☆532Oct 1, 2021Updated 4 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,575Feb 24, 2026Updated 3 weeks ago
- This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Infe…☆62Aug 20, 2025Updated 7 months ago
- Makes algorithms/code in Tetrad available in Python via JPype☆92Mar 9, 2026Updated 2 weeks ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆438Updated this week
- R package for inference in Bayesian networks.☆20Jun 2, 2025Updated 9 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,542Mar 16, 2026Updated last week
- Public dataset repository for the Causal Chamber Project☆61Mar 16, 2026Updated last week
- Causal Inference and Discovery in Python by Packt Publishing☆998Mar 2, 2026Updated 3 weeks ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆64Mar 16, 2026Updated last week