erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Why this job: works in the areas we cover, but does not say which job it does
Get started
uv venv
.venv\Scripts\activate
uv pip install bnlearn- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 646
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.1.0
- Released 25 days ago
- Built with
- Jupyter Notebook
- 89% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 2 still open
- Pull requests
- 23 merged
- 0 waiting
- Releases
- 97
- 11 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 89%
- Python 11%
Topics
- bayesian-inference
- structure-learning
- sampling-methods
- dag
- directed-acyclic-graph
- parameter-learning
- causal-models
- causality-analysis
- causal-networks
- causal
- machine-learning
- python
Project record
- JobOther AI tools
- StatusListed
- Commits1,283
- Forks62
- Watching8
- Stars in 28 days+1
- CreatedJan 1, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026