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active 2026-01-082026-01-23 (UTC)

Complete coverage26,726 / 26,726 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
158
Pushes
53
Pull requests
47
Issues
20
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 16 days from 2026-01-08 to 2026-01-23. Pushes: 53 total, peak 11 in a day. Pull requests: 47 total, peak 31 in a day. Issues: 20 total, peak 6 in a day. Comments: 9 total, peak 5 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
frejajensen94326110
vedavedaveda351930
dependabot[bot]350305
Ola260112830
github-actions[bot]4004

Recent activity

Latest issues, pull requests and releases

  • Pull request#74frejajensen92026-01-23 15:19
  • Pull request#74frejajensen92026-01-23 15:14
  • Issue#56vedavedaveda2026-01-23 11:35
    Write some documentation for your application (M32)
  • Issue#52vedavedaveda2026-01-23 11:34
    Create one or more alert systems in GCP to alert you if your app is not behaving correctly (M28)
  • Pull request#72Ola26012026-01-22 19:16
  • Pull request#72Ola26012026-01-22 19:03
  • Issue#30vedavedaveda2026-01-22 16:58
    Deploy your model in GCP using either Functions or Run as the backend (M23)
  • Pull request#71vedavedaveda2026-01-22 16:58
  • Issue#27frejajensen92026-01-22 07:33
    Create a trigger workflow for automatically building your docker images (M21)
  • Issue#28frejajensen92026-01-22 07:33
    Get your model training in GCP using either the Engine or Vertex AI (M21)
  • Pull request#70frejajensen92026-01-22 07:33
  • Issue#22frejajensen92026-01-21 13:21
    Add a linting step to your continuous integration (M17)
  • Issue comment#68github-actions[bot]2026-01-21 10:05
    Added pre-commit to workflow
  • Pull request#68frejajensen92026-01-21 09:47
  • Pull request#67frejajensen92026-01-21 09:36
  • Pull request#67frejajensen92026-01-21 09:19
  • Issue comment#65github-actions[bot]2026-01-20 22:36
    Added pre-commit with ruff and json
  • Issue comment#64github-actions[bot]2026-01-20 18:26
    Added ruff to tests.yaml
  • Issue comment#64github-actions[bot]2026-01-20 18:24
    Added ruff to tests.yaml
  • Pull request#63Ola26012026-01-19 20:16
  • Issue#23vedavedaveda2026-01-19 17:42
    Add pre-commit hooks to your version control setup (M18)
  • Issue#23vedavedaveda2026-01-19 17:42
    Add pre-commit hooks to your version control setup (M18)
  • Pull request#62vedavedaveda2026-01-19 12:54
  • Issue#56vedavedaveda2026-01-19 12:44
    Write some documentation for your application (M32)
  • Issue#55vedavedaveda2026-01-19 12:44
    Play around with quantization, compilation and pruning for you trained models to increase inference speed (M31)

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.