Decision Workspace
RayBNN_Neural vs gradients vs burn-cuda
Side-by-side comparison of Rust crates
42
RayBNN_Neural
growingv2.0.3
Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
37
gradients
growingv0.3.4
An OpenCL, CUDA and CPU based Deep Learning Library
66
burn-cuda
growingv0.20.1
CUDA backend for the Burn framework
Core Metrics
| RayBNN_Neural | gradients | burn-cuda | |
|---|---|---|---|
| Health Score | 42 | 37 | 66 |
| Total Downloads | 7.8K | 8.8K | 436.4K |
| 30d Downloads | 9 | 7 | 54.5K |
| Dependents | 0 | 0 | 131 |
| Releases | 6 | 7 | 19 |
| Last Updated | 646d ago | 1294d ago | 25d ago |
| Age | 1y 10m | 3y 8m | 1y 7m |
Health Breakdown
RayBNN_Neural
Maintenance
7
Quality
15
Community
5
Popularity
5
Documentation
10
gradients
Maintenance
5
Quality
11
Community
6
Popularity
5
Documentation
10
burn-cuda
Maintenance
18
Quality
17
Community
11
Popularity
7
Documentation
13
Technical Details
| RayBNN_Neural | gradients | burn-cuda | |
|---|---|---|---|
| Version | 2.0.3 | 0.3.4 | 0.20.1 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✗ No |
| License | GPL-3.0-only | MIT | MIT OR Apache-2.0 |
| Dependencies | 39 | 6 | 4 |
| Crate Size | 39KB | 22KB | 29KB |
| Features | 0 | 5 | 7 |
| Yanked % | 0.0% | 42.9% | 0.0% |
| Edition | 2021 | 2021 | 2024 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •burn-cuda leads with a health score of 66/100, but none of the options score above 80.
- •burn-cuda is depended on by 131 crates — strongest ecosystem trust.
- •⚠ RayBNN_Neural, gradients have not been updated in over a year.
- •gradients, burn-cuda are pre-1.0 — API may change.