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concision-neural
v0.2.8 ExperimentalThis library implements various abstractions for designing neural networks.
Apache-2.0 Edition 2024 MSRV 1.85.0
Quick Verdict
- !Pre-1.0: API may have breaking changes
- !Heavy dependency tree (25 direct deps)
- โPermissive license (Apache-2.0)
Security
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Downloads
8.4K
Dependents
13
Releases
14
Size
40KB
Deep Insights
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Strong growth momentum
237 downloads in the last 30 days (8/day), up 32% from the previous period.
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Prolific maintainer
The primary maintainer publishes 150 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.
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Heavy dependency tree
25 direct dependencies. Consider the impact on compile times and supply chain complexity.
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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%
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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LessMore
Feature Flags
default =["std"]
rngstd*blasfullinitjsonrandwasiwasmallocrayonserdeapproxcomplexnightlytracingserde_json
README
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Maintainers
Dependencies
25
direct dependencies
Dependents
13
crates depend on concision-neural