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70

burn

v0.20.1 Growing

Flexible and Comprehensive Deep Learning Framework in Rust

MIT OR Apache-2.0 Edition 2024 MSRV 1.89
ScienceEmbedded developmentNo standard libraryWebAssembly #machine-learning#tensor#deep-learning#ndarray#pytorch

Quick Verdict

  • โœ“Actively maintained (updated 25d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Massive adoption (1.0K crates depend on it)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
700.2K
Dependents
1.0K
Releases
39
Size
65KB

Deep Insights

๐Ÿ“Š
Steady growth

79.3K downloads in the last 30 days (2.6K/day), up 6% from the previous period.

๐Ÿ”—
Widely adopted

1.0K crates depend on burn. Strong ecosystem adoption means battle-tested code and long-term stability.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 112 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿ”ฌ
Pre-1.0 for over a year

Despite being 3+ years old, burn hasn't reached 1.0 yet. Expect potential API changes between versions.

๐ŸŒŸ
Used by top crates

Notable dependents include fsrs, fibertools-rs, burn-import, futuresdr, bytecon. When high-quality crates choose burn, it's a strong quality signal.

Health Breakdown

Maintenance 18/25

Recency, release consistency, active ratio

Quality 16/25

Yanked ratio, deps, size, maturity, features

Community 14/20

Reverse deps, ownership, ecosystem

Popularity 7/15

Downloads, momentum, growth trend

Documentation 15/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
2K/day avg+27%
01K2K3K12/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.18.0
30%
v0.17.1
30%
v0.16.0
16%
v0.13.2
12%
v0.19.1
12%

Release Timeline

39 releasessince 2022
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2022
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2024
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2025
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2026
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Feature Flags

default =["std", "burn-core/default", "burn-train?/default", "burn-collective?/default", "burn-candle?/default", "burn-cpu?/default", "burn-ndarray?/default", "burn-tch?/default", "burn-wgpu?/default", "burn-router?/default", "burn-remote?/default", "burn-cuda?/default", "burn-autodiff?/default", "burn-rocm?/default", "burn-nn/default", "burn-optim/default"]

ircpudocstd*tchtuicudarocmsimdwgpuaudiometalstoretraincandlecubeclfusionremoterouterserversqlitevisionvulkanwebgpudatasetmetricsndarraynetworktracingautodiffautotuneopenblastemplateacceleratecollectiveblas-netlibcandle-cudacandle-metalsqlite-bundledautotune-checksopenblas-systemrecord-item-custom-serdeexperimental-named-tensor

README

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Maintainers

Dependencies
18
direct dependencies
Dependents
1.0K
crates depend on burn

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