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burn-optim

v0.21.0 Experimental

Optimizer building blocks for the Burn deep learning framework

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

Quick Verdict

  • โœ“Actively maintained (updated 18d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

Checking security advisories...
Downloads
200.9K
Dependents
59
Releases
16
Size
85KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

54.1K downloads in the last 30 days (1.8K/day), up 46% from the previous period.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 117 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

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Used by top crates

Notable dependents include burn, burn-train, burn-rl, flowmatch, relayrl_algorithms. When high-quality crates choose burn-optim, it's a strong quality signal.

Health Breakdown

Maintenance 21/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 11/20

Reverse deps, ownership, ecosystem

Popularity 6/15

Downloads, momentum, growth trend

Documentation 13/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
1K/day avg+47%
01K2K3K2/263/164/34/215/95/26

Top Dependents

Version Adoption

v0.20.1
80%
v0.20.0
7%
v0.21.0
6%
v0.21.0-pre.3
4%
v0.21.0-pre.2
3%

Release Timeline

10 releasessince 2025
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2026
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Feature Flags

default =["std", "burn-core/default"]

docstd*tracingtest-tchtest-cudatest-rocmtest-wgpucollectivetest-metaldistributedtest-vulkantest-memory-checks

README

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Maintainers

Dependencies
18
direct dependencies
Dependents
59
crates depend on burn-optim

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