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RayBNN_Neural

v2.0.3 Growing

Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

GPL-3.0-only Edition 2021
Science #machine-learning#deep-learning#opencl#neural-networks#cuda

Quick Verdict

  • โœ•Not updated for 1+ year
  • โœ“Stable API (2.x for 1+ years)
  • !Heavy dependency tree (39 direct deps)

Security

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Downloads
7.8K
Dependents
0
Releases
6
Size
39KB

Deep Insights

๐Ÿ“ˆ
Strong growth momentum

9 downloads in the last 30 days (0/day), up 80% from the previous period.

โœ…
Stable API

Reached 1.0 over a year ago. The API surface is settled, making it safe for production use.

๐Ÿ“ฆ
Heavy dependency tree

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

๐Ÿ“
Compact crate

At 38KB, RayBNN_Neural is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 7/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 5/20

Reverse deps, ownership, ecosystem

Popularity 5/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg-14%
024612/301/172/42/223/123/29

Version Adoption

v2.0.1
23%
v2.0.3
22%
v0.1.2
19%
v0.1.1
19%
v0.1.0
18%

Release Timeline

6 releasessince 2024
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README

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Maintainers

Dependencies
39
direct dependencies
Dependents
0
crates depend on RayBNN_Neural

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