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aprender-train

v0.60.0 Experimental

Training & Optimization library with autograd, LoRA, quantization, and model merging

MIT Edition 2021 MSRV 1.87
ScienceMathematics #quantization#machine-learning#neural-networks#autograd#lora

Quick Verdict

  • โœ“Actively maintained (updated 7d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Trusted by 150 crates
  • !Heavy dependency tree (66 direct deps)
  • โœ“Permissive license (MIT)

Security

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Downloads
3.8K
Dependents
150
Releases
18
Size
2.0MB

Deep Insights

๐Ÿ“Š
Stable downloads

968 downloads in the last 30 days (32/day). Volume is roughly flat compared to the previous period.

๐Ÿ”—
Moderate adoption

150 crates depend on aprender-train. Reasonable ecosystem adoption, though not yet a core dependency.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 275 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿ“ฆ
Heavy dependency tree

66 direct dependencies. Consider the impact on compile times and supply chain complexity.

๐ŸŒŸ
Used by top crates

Notable dependents include entrenar, apr-cli, aprender-orchestrate, aprender-train-lora, aprender-train-distill. When high-quality crates choose aprender-train, it's a strong quality signal.

Health Breakdown

Maintenance 20/25

Recency, release consistency, active ratio

Quality 9/25

Yanked ratio, deps, size, maturity, features

Community 12/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 12/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg
04/265/146/16/197/77/24

Top Dependents

Version Adoption

v0.50.0
44%
v0.41.0
25%
v0.51.0
18%
v0.36.0
7%
v0.40.0
6%

Release Timeline

10 releasessince 2026
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Feature Flags

default =["tui"]

gpuhubtui*vizcitlcudaggufkaninvmlwasmservermonitorparquettracingdhat-heaphub-publishcpu-fallbackruchy-sessions

README

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Maintainers

Dependencies
66
direct dependencies
Dependents
150
crates depend on aprender-train

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