Decision Workspace
nabled-ml vs stochastic_optimizers vs burn
Side-by-side comparison of Rust crates
58
nabled-ml
experimentalv0.0.8
ML-oriented algorithms built on ndarray-native nabled primitives
36
stochastic_optimizers
growingv0.3.0
Generic implementations of gradient based stochastic optimizing algorithms
70
burn
growingv0.20.1
Flexible and Comprehensive Deep Learning Framework in Rust
Core Metrics
| nabled-ml | stochastic_optimizers | burn | |
|---|---|---|---|
| Health Score | 58 | 36 | 70 |
| Total Downloads | 176 | 4.9K | 700.2K |
| 30d Downloads | 176 | 23 | 74.0K |
| Dependents | 7 | 0 | 1.0K |
| Releases | 7 | 4 | 39 |
| Last Updated | 7d ago | 964d ago | 25d ago |
| Age | 24d | 2y 8m | 3y 8m |
Health Breakdown
nabled-ml
Maintenance
14
Quality
16
Community
10
Popularity
3
Documentation
15
stochastic_optimizers
Maintenance
4
Quality
15
Community
3
Popularity
4
Documentation
10
burn
Maintenance
18
Quality
16
Community
14
Popularity
7
Documentation
15
Technical Details
| nabled-ml | stochastic_optimizers | burn | |
|---|---|---|---|
| Version | 0.0.8 | 0.3.0 | 0.20.1 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 7 | 3 | 18 |
| Crate Size | 30KB | 9KB | 65KB |
| Features | 8 | 0 | 44 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2021 | 2024 |
| MSRV | 1.92 | — | 1.89 |
| Owners | 2 | 1 | 1 |
Links
Quick Verdict
- •burn leads with a health score of 70/100, but none of the options score above 80.
- •burn is depended on by 1.0K crates — strongest ecosystem trust.
- •⚠ stochastic_optimizers has not been updated in over a year.