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GitHub seismograph — discoveries and growing interest

tracel-ai/burn

Language modelsRust#autodiff#deep-learning#machine-learning#rust#scientific-computing
Total stars
16,042
Today · UTC
—No data
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Save to My finds to follow releases and star growth. Saved in this browser.

About the project

A Rust tensor library and deep learning framework where training and inference share one codebase, with JIT compilation and autodiff. Runs on CUDA, ROCm, Metal, Vulkan, WebGPU and CPU.

Useful for
  • Train a model in Rust and deploy it with the same code, without ONNX export
  • Run inference on WebGPU or Vulkan across different user devices
  • Import PyTorch or Safetensors weights via burn-store

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

1.4 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 8, 2026, 11:14 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

01020July 11, 2026October 8, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • There are not enough fresh counter measurements for today's UTC day. The gain is unknown.
  • GitHub Trending Rust today: #9, +12 stars.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
16,042
Today
Not enough measurements today
Forks
1,080
Issues and pull requests
5,769
Watchers
101
Language
Rust
License
Apache-2.0
Latest release
v0.22.0 · October 6, 2026
Created
July 18, 2022
Last push
October 7, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 1.4
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