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traceopt-ai/traceml

Find why PyTorch training is slow, compare runs, and catch performance regressions in CI.

Visit GitHub
Python
189
35
5 contributors
Apache License 2.0
website
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How fast traceopt-ai/traceml is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 20 – Oct 19, 2026

Stars +7 in 61 days

01
1

Forks +7 in 61 days

012
2

Merged PRs 109 in 61 days

0510
7

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Aug 20Aug 28Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Aug 20, 2026+0+01
Fri, Aug 21, 2026+0+03
Sat, Aug 22, 2026+0+01
Sun, Aug 23, 2026+0+00
Mon, Aug 24, 2026+0+00
Tue, Aug 25, 2026+0+01
Wed, Aug 26, 2026+0+03
Thu, Aug 27, 2026+0+00
Fri, Aug 28, 2026+0+03
Sat, Aug 29, 2026+0+01
Sun, Aug 30, 2026+0+02
Mon, Aug 31, 2026+0+04
Tue, Sep 1, 2026+0+05
Wed, Sep 2, 2026+0+05
Thu, Sep 3, 2026+0+11
Fri, Sep 4, 2026+0+04
Sat, Sep 5, 2026+1+02
Sun, Sep 6, 2026+1+10
Mon, Sep 7, 2026+0+02
Tue, Sep 8, 2026+0+01
Wed, Sep 9, 2026+0+05
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+01
Mon, Sep 14, 2026+0+01
Tue, Sep 15, 2026+0+00
Wed, Sep 16, 2026+0+02
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+01
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+0+02
Mon, Sep 21, 2026+0+02
Tue, Sep 22, 2026+0+04
Wed, Sep 23, 2026+0+01
Thu, Sep 24, 2026+0+02
Fri, Sep 25, 2026+0+05
Sat, Sep 26, 2026+0+07
Sun, Sep 27, 2026+0+02
Mon, Sep 28, 2026+0+12
Tue, Sep 29, 2026+0+13
Wed, Sep 30, 2026+0+04
Thu, Oct 1, 2026+0+12
Fri, Oct 2, 2026+0+01
Sat, Oct 3, 2026+0+03
Sun, Oct 4, 2026+0+04
Mon, Oct 5, 2026+0+02
Tue, Oct 6, 2026+0+06
Wed, Oct 7, 2026+1+04
Thu, Oct 8, 2026+0+21
Fri, Oct 9, 2026+0+01
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+1+01
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+1+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+01
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+1+00
Total+7+7109
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 82 posts

    • The issue was fixed in PR #1551: two extra full-frame copies when decoding non-JPEG images. On 1.11.1, step time and input wait are back within 0.5% of 1.10.1. Setup: RF-DETR Nano, one L4, 4096px…

      Read full on X, posted by @Abhinav_sriva

      @Abhinav_sriva · x.com

    • Reproducing RF-DETR regression: compute got faster but training steps got 15% slower

      Read full on Reddit

      r/computervision

  2. 1 month earlier
  3. Sep 81 post

    • Most data fetches took under 1 ms. Some stalled training for 5+ seconds. I used TraceML to compare a known LeRobot regression before and after its upstream fix. The slowdown was input-side.…

      Read full on X, posted by @Abhinav_sriva

      @Abhinav_sriva · x.com

  4. 2 months earlier
  5. Jul 241 post

    • The cost of catching bottle necks in your training pipeline - Three ways compared: TraceML vs torch.profiler vs cProfile and here's what each one actually costs.

      Read full on Reddit

      r/mlops

  6. Jul 231 post

    • The cost of catching bottle necks in your training pipeline - Three ways compared: TraceML vs torch.profiler vs cProfile and here's what each one actually costs.

      Read full on Reddit

      r/deeplearning

  7. 10 days earlier
  8. Jul 132 posts

    • PyTorch Profiler is useful, but do you run it on every training job?

      Read full on Reddit

      r/mlops

    • PyTorch Profiler is useful, but do you run it on every training job?

      Read full on Reddit

      r/u_traceml-ai

  9. Jul 91 post

    • TraceML: Diagnosing a real PyTorch DataLoader bottleneck: 51% GPU util, one three-line fix, 43% faster

      Read full on Reddit

      r/OpenSourceAI

  10. Jul 81 post

    • Diagnosing a real PyTorch DataLoader bottleneck: 51% GPU util, one three-line fix, 43% faster

      Read full on Reddit

      r/deeplearning

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