tracel-ai/burn
- Total stars
- 16,042
- Today · UTC
- —No data
More actions
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
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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.
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
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.
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.
Spotted in
- October 8, 2026GitHub Trending Rust today: #9, +12 stars