PyRank
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.
PyPI GitHub Verified repo
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

dowhy has 238K monthly downloads and 8K GitHub stars. Version 0.14 supports Python <3.14,>=3.9, first published in 2019.

It is actively maintained under a permissive license, last released in Nov 2025.

It is built on top of causal-learn, cvxpy and cython. It is used by 18 tracked packages, including coreason-runtime, effconnpy and expascribe.

GitHub topics include causal-inference, machine-learning and graphical-models.

Downloads
Day
8.5K
Week
56.9K
Month
237.7K
Stars
8.2K
Forks
1.0K
Issues
111
Version
0.14

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
84
Adoption
73
Community
80
Provenance
100
How the maintenance status was determined
Last commit
3 days ago
Monthly downloads
237,681
• Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
237,681
Stars
8,196
Stars per 1k downloads
34.48
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
8,124
Month daily avg
7,923
Momentum
+2.5%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
<3.14,>=3.9
Cutting Edge
Minimum supported version is 3.12 or newer
• Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
MIT
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
241 days ago
Total releases
18
Releases/year
2.6
Rapid
Last release within 365 days and > 12 releases/year
• Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
127
Monthly downloads
237,681
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
84
 
Issue Burden
13.5
per 1k stars
Discussions
5.6
per 1k stars
Fork Ratio
12.2%
contrib / forks
Stale Release
238d
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 4.6K
Windows 144
macOS 138

Python Versions

3.11
41.7% 2.0K
3.12
39.8% 1.9K
3.10
9.5% 448
3.13
5.5% 257
3.14
3.5% 167

Top Countries

1. US US
4.4K
2. NL NL
79
3. IE IE
56
4. SE SE
49
5. JP JP
41
6. SG SG
41
7. DE DE
33
8. CN CN
30
9. IN IN
29
10. GB GB
21

Dependencies

13
4 optional dependencies

Used By

18

Package Information

License
MIT
First Release
July 15, 2019
Last Release
8 months ago
Last Commit
3 days ago
Latest Version
0.14
Total Releases
18
Contributors
127
Open PRs
68
Archived
No
Author
PyWhy Community
Python Versions
3 3.9 3.10 3.11 3.12 3.13
Wheels
py3
Keywords
causality machine-learning causal-inference statistics graphical-model
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links