Skip to content

SQLMesh is a data transformation framework that brings the benefits of DevOps to data teams. It enables data scientists, analysts, and engineers to efficiently run and deploy data transformations written in SQL or Python.

active 2023-12-012025-03-07 (UTC)

Complete coverage26,394 / 26,394 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
197
Pushes
149
Pull requests
13
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 463 days from 2023-12-01 to 2025-03-07. Pushes: 149 total, peak 24 in a day. Pull requests: 13 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 3 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
treysp8776110
mesmith027807323

Recent activity

Latest issues, pull requests and releases

  • Pull request#7treysp2025-03-07 23:18
  • Pull request#7treysp2025-03-07 23:18
  • Pull request#6treysp2025-03-07 23:00
  • Pull request#6treysp2025-03-07 22:58
  • Pull request#5treysp2025-03-06 17:31
  • Pull request#5treysp2025-03-06 17:31
  • Pull request#4mesmith0272025-02-06 17:26
  • Pull request#4treysp2025-02-06 17:20
  • Pull request#3treysp2025-01-16 16:44
  • Pull request#3treysp2025-01-13 16:39
  • Pull request#2mesmith0272025-01-09 17:02
  • Pull request#2treysp2025-01-07 19:53
  • Pull request#1treysp2024-11-19 14:28

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.