Decision Workspace
train-station vs torsh-autograd vs entrenar
Side-by-side comparison of Rust crates
52
train-station
experimentalv0.3.0
A high-performance, PyTorch inspired, zero dependency Rust machine learning library
61
torsh-autograd
experimentalv0.1.1
Automatic differentiation engine for ToRSh with PyTorch-compatible API
60
entrenar
experimentalv0.7.6
Training & Optimization library with autograd, LoRA, quantization, and model merging
Core Metrics
| train-station | torsh-autograd | entrenar | |
|---|---|---|---|
| Health Score | 52 | 61 | 60 |
| Total Downloads | 2.7K | 1.7K | 11.9K |
| 30d Downloads | 12 | 290 | 1.2K |
| Dependents | 0 | 37 | 119 |
| Releases | 9 | 6 | 30 |
| Last Updated | 179d ago | 7d ago | 13d ago |
| Age | 7m | 5m | 4m |
Health Breakdown
train-station
Maintenance
11
Quality
16
Community
6
Popularity
4
Documentation
15
torsh-autograd
Maintenance
20
Quality
12
Community
10
Popularity
4
Documentation
15
entrenar
Maintenance
19
Quality
12
Community
12
Popularity
5
Documentation
12
Technical Details
| train-station | torsh-autograd | entrenar | |
|---|---|---|---|
| Version | 0.3.0 | 0.1.1 | 0.7.6 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | MIT |
| Dependencies | 0 | 23 | 61 |
| Crate Size | 467KB | 788KB | 1.5MB |
| Features | 2 | 9 | 17 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | 1.89 | 1.77 | 1.87 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •torsh-autograd leads with a health score of 61/100, but none of the options score above 80.
- •entrenar has the most downloads (11.9K), suggesting wider adoption.
- •entrenar is depended on by 119 crates — strongest ecosystem trust.