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Convert Word documents to Markdown with zero dependencies. Features intelligent code detection (SQL, DAX, Python, Power Query), table preservation, frontmatter support, and clipboard mode for instant conversions. Built with pure Python stdlib for maximum portability. Perfect for documentation workflows and knowledge management.

active 2026-01-052026-06-08 (UTC)

Complete coverage26,389 / 26,389 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
23
Pushes
13
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 155 days from 2026-01-05 to 2026-06-08. Pushes: 13 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
swolfe2131300

Recent activity

Latest issues, pull requests and releases

  • Releasegithub-actions[bot]2026-01-09 22:39
    Markify v1.2.0
  • Releasegithub-actions[bot]2026-01-07 20:56
    Markify v1.1.1
  • Releasegithub-actions[bot]2026-01-06 17:09
    Markify v1.1.0
  • Releasegithub-actions[bot]2026-01-05 22:01
    Markify v1.0.0
  • Releasegithub-actions[bot]2026-01-05 20:37
    Markify v1.0.0
  • Releasegithub-actions[bot]2026-01-05 17:32
    Markify v1.0.0

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.