Decision Workspace
grape_ml vs torsh-nn vs axonml-onnx
Side-by-side comparison of Rust crates
32
grape_ml
growingv0.0.1
Machine Learning framework which allows to analyze the data with different and organized data analysis algorithms.
63
torsh-nn
experimentalv0.1.2
Neural network modules for ToRSh with PyTorch-compatible API
59
axonml-onnx
experimentalv0.6.2
ONNX import/export support for the Axonml ML framework
Core Metrics
| grape_ml | torsh-nn | axonml-onnx | |
|---|---|---|---|
| Health Score | 32 | 63 | 59 |
| Total Downloads | 1.8K | 2.0K | 497 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 82 | 22 |
| Releases | 1 | 7 | 15 |
| Last Updated | 2438d ago | 29d ago | 38d ago |
| Age | 6y 8m | 7m | 4m |
Health Breakdown
grape_ml
Maintenance
1
Quality
15
Community
3
Popularity
4
Documentation
9
torsh-nn
Maintenance
20
Quality
13
Community
11
Popularity
4
Documentation
15
axonml-onnx
Maintenance
17
Quality
14
Community
10
Popularity
3
Documentation
15
Technical Details
| grape_ml | torsh-nn | axonml-onnx | |
|---|---|---|---|
| Version | 0.0.1 | 0.1.2 | 0.6.2 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 3 | 25 | 12 |
| Crate Size | 59KB | 469KB | 36KB |
| Features | 0 | 8 | 2 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2018 | 2021 | 2024 |
| MSRV | — | 1.77 | 1.85 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •torsh-nn leads with a health score of 63/100, but none of the options score above 80.
- •⚠ grape_ml has not been updated in over a year.