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concision-neural

v0.2.8 Experimental

This library implements various abstractions for designing neural networks.

Apache-2.0 Edition 2024 MSRV 1.85.0
AlgorithmsScienceMathematics #machine-learning#data-science#toolkit#scsys

Quick Verdict

  • !Pre-1.0: API may have breaking changes
  • !Heavy dependency tree (25 direct deps)
  • โœ“Permissive license (Apache-2.0)

Security

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Downloads
8.4K
Dependents
13
Releases
14
Size
40KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

237 downloads in the last 30 days (8/day), up 32% from the previous period.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 150 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿ“ฆ
Heavy dependency tree

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

๐Ÿ“
Compact crate

At 39KB, concision-neural is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 13/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 9/20

Reverse deps, ownership, ecosystem

Popularity 5/15

Downloads, momentum, growth trend

Documentation 12/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
7/day avg-6%
01020304012/291/162/32/213/113/28

Version Adoption

v0.2.0
27%
v0.2.7
26%
v0.1.22
20%
v0.1.18
14%
v0.1.19
13%

Release Timeline

14 releasessince 2025
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Feature Flags

default =["std"]

rngstd*blasfullinitjsonrandwasiwasmallocrayonserdeapproxcomplexnightlytracingserde_json

README

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Maintainers

Dependencies
25
direct dependencies
Dependents
13
crates depend on concision-neural

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