dowhy 0.14

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions

Stars: 7958, Watchers: 7958, Forks: 1004, Open Issues: 144

The py-why/dowhy repo was created 7 years ago and the last code push was 5 days ago.
The project is extremely popular with a mindblowing 7958 github stars!

How to Install dowhy

You can install dowhy using pip

pip install dowhy

or add it to a project with poetry

poetry add dowhy

Package Details

Author

PyWhy Community

License

MIT

Homepage

None

PyPi:

https://pypi.org/project/dowhy/

Documentation:

https://py-why.github.io/dowhy

GitHub Repo:

https://github.com/microsoft/dowhy

Classifiers

Related Packages

Errors

A list of common dowhy errors.

Code Examples

Here are some dowhy code examples and snippets.

GitHub Issues

The dowhy package has 144 open issues on GitHub

• Add time-decay attribution and causal demo notebook
• Bump urllib3 from 2.5.0 to 2.6.3
• Bump aiohttp from 3.12.14 to 3.13.3
• Is the dowhy example with the Lalonde data really useful to test the library?
• bump causal-learn to v0.1.4.4
• fix SyntaxWarning invalid escape sequences by using raw string literals
• SyntaxWarning: invalid escape sequences (Python 3.12+)
• Yet another stundet coursework
• Bump actions/checkout from 5 to 6
• Change attribute_anomalies to only use relevant subraph

See more issues on GitHub