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Exchangeable data format for training Scientific Machine Learning (SciML) models

active 2025-06-262026-06-22 (UTC)

Complete coverage26,371 / 26,371 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
316
Pushes
41
Pull requests
20
Issues
6
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 362 days from 2025-06-26 to 2026-06-22. Pushes: 41 total, peak 4 in a day. Pull requests: 20 total, peak 3 in a day. Issues: 6 total, peak 2 in a day. Comments: 143 total, peak 18 in a day. Stars: 1 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
sebapersson144311068
dilpath737644
BSnelling292312
FFroehlich170113

Recent activity

Latest issues, pull requests and releases

  • Pull request#73sebapersson2026-05-19 12:29
  • Pull request#68dilpath2026-02-25 11:10
  • Issue comment#69sebapersson2026-02-25 07:45
    Linter
  • Pull request#60sebapersson2026-02-18 11:37
  • Pull request#59sebapersson2026-02-06 17:16
  • Issue comment#52sebapersson2026-02-05 10:26
    Implicit assignment, remove or keep?
  • Pull request#56sebapersson2026-02-04 09:10
  • Issue comment#49sebapersson2026-02-03 10:39
    Terms for static and dynamic NNs
  • Issue comment#52sebapersson2026-01-28 08:49
    Implicit assignment, remove or keep?
  • Issue comment#52dilpath2026-01-28 08:23
    Implicit assignment, remove or keep?
  • Issue comment#52sebapersson2026-01-28 07:57
    Implicit assignment, remove or keep?
  • Issue comment#55sebapersson2026-01-28 06:34
    Clarify bounds for ML-models
  • Issue comment#55dilpath2026-01-28 06:27
    Clarify bounds for ML-models
  • Issue comment#55dilpath2026-01-27 21:26
    Clarify bounds for ML-models
  • Issue comment#52dilpath2026-01-27 20:49
    Implicit assignment, remove or keep?
  • Pull request#53sebapersson2026-01-23 07:18
  • Issue comment#49sebapersson2026-01-21 08:09
    Terms for static and dynamic NNs
  • Issue comment#47sebapersson2026-01-21 08:07
    Update and fix PEtab parameters description
  • Pull request#48dilpath2026-01-19 15:44
  • Pull request#47sebapersson2026-01-19 09:44
  • Issue#44sebapersson2025-11-14 10:08
    Torch dependency is huge
  • Issue comment#44sebapersson2025-11-14 10:08
    Torch dependency is huge
  • Issue#44FFroehlich2025-11-14 09:49
    Torch dependency is huge
  • Pull request#43FFroehlich2025-11-14 09:47
  • Issue#41sebapersson2025-11-05 09:06
    Complicated spec on nominal ML parameter values

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.