py-why / dowhy
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.
Why this job: matched by what the repo talks about: inference, model, language, support
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 8,400
- +11 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.14
- Released 12 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 16
- Last 90 days
- Issues
- 77% closed
- 145 still open
- Pull requests
- 883 merged
- 50 waiting
- Releases
- 18
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- causal-inference
- machine-learning
- graphical-models
- bayesian-networks
- data-science
- python3
- causality
- causal-models
- treatment-effects
- do-calculus
- causal-machine-learning
Project record
- JobLocal LLMs
- StatusListed
- Commits1,291
- Forks1,068
- Watching135
- Stars in 28 days+48
- CreatedMay 31, 2018
- First seen by usNov 7, 2026
- CheckedNov 12, 2026