py-why/dowhy
View on GitHubDoWhy 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.
- Stars
- 8.3k
- Forks
- 1.1k
- Open beginner issues
- 0
- Indexed issues
- 143
- Avg merge
- 7d 8h
- Merged PRs (30d)
- 23
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 19, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- good first issue
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agentic-workflows
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agentic-workflows
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agentic-workflows automation repo-assist
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agentic-workflows automation repo-assist
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agentic-workflows
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agentic-workflows automation repo-assist
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agentic-workflows automation repo-assist
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automation enhancement repo-assist
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enhancement
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[Repo Assist] eng(deps): update pytorch-lightning dev constraint to >=2.0 for all Python versions Openagentic-workflows automation repo-assist
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agentic-workflows automation repo-assist
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agentic-workflows
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agentic-workflows automation enhancement repo-assist
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agentic-workflows
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agentic-workflows automation enhancement repo-assist
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agentic-workflows
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agentic-workflows automation repo-assist
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agentic-workflows
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agentic-workflows
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[gh-aw] Protected Files: [Repo Assist] feat(gcm): add optional nodes filter to anomaly_scores() Openagentic-workflows
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agentic-workflows
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agentic-workflows automation repo-assist
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agentic-workflows
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