Skip to content

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.

active 2023-08-15 → 2026-10-19 (UTC)

Complete coverage27,906 / 27,906 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-20 (UTC)
Events
5.2K
Pushes
811
Pull requests
505
Issues
263
Stars
1.8K
Forks
178

Activity over time

Daily event counts in the loaded window

Line chart, 1162 days from 2023-08-15 to 2026-10-19. Pushes: 811 total, peak 22 in a day. Pull requests: 505 total, peak 12 in a day. Issues: 263 total, peak 7 in a day. Comments: 876 total, peak 23 in a day. Stars: 1,771 total, peak 11 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
bloebp712277176158
github-actions[bot]67127497210
amit-sharma4258659140
emrekiciman2031021839
allcontributors[bot]74401915
dependabot[bot]686611
Copilot6718428
victor5as540128
nparent1530532
petergtz36004
rahulbshrestha280719
kailashbuki20005
ankur-tutlani190014
bhatt-priyadutt190105
adam2392180111
aryan26roy160113
kbattocchi10001
Yangliu-SY9013
kunwuz8016
asha24choudhary8003

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,771 stars here means stars gained during the window, not the repo's star count.