Decision Workspace
easy-ml vs torsh-linalg vs axonml-tensor
Side-by-side comparison of Rust crates
55
easy-ml
stablev2.1.0
Machine learning library providing matrices, named tensors, linear algebra and automatic differentiation aimed at being easy to use
63
torsh-linalg
experimentalv0.1.1
Linear algebra operations for ToRSh with SciRS2 integration
60
axonml-tensor
experimentalv0.4.3
N-dimensional tensor operations for the Axonml ML framework
Core Metrics
| easy-ml | torsh-linalg | axonml-tensor | |
|---|---|---|---|
| Health Score | 55 | 63 | 60 |
| Total Downloads | 41.1K | 1.6K | 969 |
| 30d Downloads | 137 | 332 | 398 |
| Dependents | 1 | 45 | 242 |
| Releases | 27 | 6 | 15 |
| Last Updated | 116d ago | 7d ago | 3d ago |
| Age | 6y 1m | 5m | 2m |
Health Breakdown
easy-ml
Maintenance
13
Quality
19
Community
7
Popularity
6
Documentation
10
torsh-linalg
Maintenance
20
Quality
13
Community
11
Popularity
4
Documentation
15
axonml-tensor
Maintenance
13
Quality
15
Community
13
Popularity
4
Documentation
15
Technical Details
| easy-ml | torsh-linalg | axonml-tensor | |
|---|---|---|---|
| Version | 2.1.0 | 0.1.1 | 0.4.3 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✗ No |
| License | MPL-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 10 | 8 | 6 |
| Crate Size | 248KB | 162KB | 57KB |
| Features | 2 | 4 | 4 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2021 | 2024 |
| MSRV | — | 1.77 | 1.85 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •torsh-linalg leads with a health score of 63/100, but none of the options score above 80.
- •easy-ml has the most downloads (41.1K), suggesting wider adoption.
- •axonml-tensor is depended on by 242 crates — strongest ecosystem trust.
- •torsh-linalg, axonml-tensor are pre-1.0 — API may change.