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elementary-data/dbt-data-reliability

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dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

active 2023-08-15 → 2026-09-07 (UTC)

Complete coverage27,294 / 27,297 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
5K
Pushes
1.2K
Pull requests
677
Issues
49
Stars
238
Forks
63

Activity over time

Daily event counts in the loaded window

Line chart, 1120 days from 2023-08-15 to 2026-09-07. Pushes: 1,225 total, peak 26 in a day. Pull requests: 677 total, peak 22 in a day. Issues: 49 total, peak 8 in a day. Comments: 1,308 total, peak 28 in a day. Stars: 238 total, peak 4 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
haritamar783256136190
elongl43214410388
coderabbitai[bot]34800183
devin-ai-integration[bot]3121864058
github-actions[bot]307133265
ofek1weiss261676148
dapollak228157489
linear[bot]21000210
erikzaadi10361107
ellakz96402613
NoyaArie9228338
GuyEshdat84421910
arbiv8146169
Maayan-s7442196
MikaKerman625629
IDoneShaveIt5925116
noaKurman5626153
michael-myaskovsky4529103
oravi3822130
elazarlachkar3310210

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 238 stars here means stars gained during the window, not the repo's star count.