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pythonhealthdatascience/des_rap_book

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Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).

active 2025-04-10 → 2026-09-07 (UTC)

Complete coverage27,417 / 27,417 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-30 (UTC)
Events
597
Pushes
326
Pull requests
48
Issues
121
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 516 days from 2025-04-10 to 2026-09-07. Pushes: 326 total, peak 14 in a day. Pull requests: 48 total, peak 6 in a day. Issues: 121 total, peak 10 in a day. Comments: 37 total, peak 4 in a day. Stars: 2 total, peak 1 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
amyheather4912934533
github-actions[bot]252500
allcontributors[bot]10622
TomMonks2002

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.