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Repo to optimize running devign on my master's thesis dataset(Juliet and SARD real data)

active 2023-08-162026-04-02 (UTC)

Partial coverage20,507 / 26,263 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
121
Pushes
1
Pull requests
2
Issues
0
Stars
71
Forks
17

Activity over time

Daily event counts in the loaded window

Line chart, 961 days from 2023-08-16 to 2026-04-02. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 30 total, peak 13 in a day. Stars: 71 total, peak 2 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

Recent activity

Latest issues, pull requests and releases

  • Issue comment#22NikolasBielski2026-01-13 01:32
    His dataset has a big problem
  • Pull request#24icewanee2025-12-13 09:00
  • Issue comment#23huangyuyan32025-11-02 11:44
    Why are the training and testing accuracies only around 0.1, even after switching datasets?
  • Issue comment#23stillfighter22025-11-02 11:13
    Why are the training and testing accuracies only around 0.1, even after switching datasets?
  • Issue comment#12huangyuyan32025-10-28 05:49
    Question about CPG generation.
  • Issue comment#22diaochengxi2025-08-20 08:10
    His dataset has a big problem
  • Issue comment#23diaochengxi2025-08-19 07:43
    Why are the training and testing accuracies only around 0.1, even after switching datasets?
  • Issue comment#23diaochengxi2025-08-19 07:42
    Why are the training and testing accuracies only around 0.1, even after switching datasets?
  • Issue comment#23nhien36hk2025-08-19 01:46
    Why are the training and testing accuracies only around 0.1, even after switching datasets?
  • Issue comment#19diaochengxi2025-08-18 08:46
    Whenever the input data is larger the program gets stuck
  • Issue comment#13Tokoboen2024-10-24 11:25
    Unable to reproduce the paper results!
  • Issue comment#19hyz14333762882024-05-12 09:56
    Whenever the input data is larger the program gets stuck
  • Issue comment#19MilkteaBoy-code2024-05-12 09:01
    Whenever the input data is larger the program gets stuck
  • Issue comment#19MilkteaBoy-code2024-05-12 09:01
    Whenever the input data is larger the program gets stuck
  • Issue comment#19MilkteaBoy-code2024-05-12 08:58
    Whenever the input data is larger the program gets stuck
  • Issue comment#19MilkteaBoy-code2024-05-12 08:57
    Whenever the input data is larger the program gets stuck
  • Issue comment#19YouNotWalkAlone2024-05-12 08:48
    Whenever the input data is larger the program gets stuck
  • Issue comment#22MilkteaBoy-code2024-05-12 08:40
    His dataset has a big problem
  • Issue comment#19MilkteaBoy-code2024-05-12 08:39
    Whenever the input data is larger the program gets stuck
  • Issue comment#22YouNotWalkAlone2024-05-12 06:16
    His dataset has a big problem
  • Issue comment#22YouNotWalkAlone2024-05-12 06:13
    His dataset has a big problem
  • Issue comment#19hyz14333762882024-05-12 04:17
    Whenever the input data is larger the program gets stuck
  • Issue comment#19MilkteaBoy-code2024-05-12 04:10
    Whenever the input data is larger the program gets stuck
  • Issue comment#22MilkteaBoy-code2024-05-12 04:09
    His dataset has a big problem
  • Issue comment#22MilkteaBoy-code2024-04-28 16:01
    His dataset has a big problem

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 71 stars here means stars gained during the window, not the repo's star count.