Decision Workspace
alpha-micrograd-rust vs torsh-nn vs entrenar
Side-by-side comparison of Rust crates
43
alpha-micrograd-rust
growingv0.5.0
Expression tree, automatic gradients, neural networks, layers and perceptrons.
63
torsh-nn
experimentalv0.1.1
Neural network modules for ToRSh with PyTorch-compatible API
60
entrenar
experimentalv0.7.6
Training & Optimization library with autograd, LoRA, quantization, and model merging
Core Metrics
| alpha-micrograd-rust | torsh-nn | entrenar | |
|---|---|---|---|
| Health Score | 43 | 63 | 60 |
| Total Downloads | 4.3K | 1.5K | 11.9K |
| 30d Downloads | 9 | 264 | 1.2K |
| Dependents | 0 | 70 | 119 |
| Releases | 6 | 6 | 30 |
| Last Updated | 280d ago | 7d ago | 13d ago |
| Age | 1y 1m | 5m | 4m |
Health Breakdown
alpha-micrograd-rust
Maintenance
8
Quality
15
Community
6
Popularity
4
Documentation
10
torsh-nn
Maintenance
20
Quality
13
Community
11
Popularity
4
Documentation
15
entrenar
Maintenance
19
Quality
12
Community
12
Popularity
5
Documentation
12
Technical Details
| alpha-micrograd-rust | torsh-nn | entrenar | |
|---|---|---|---|
| Version | 0.5.0 | 0.1.1 | 0.7.6 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT | Apache-2.0 | MIT |
| Dependencies | 2 | 25 | 61 |
| Crate Size | 24KB | 467KB | 1.5MB |
| Features | 0 | 8 | 17 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | — | 1.77 | 1.87 |
| 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.
- •entrenar has the most downloads (11.9K), suggesting wider adoption.
- •entrenar is depended on by 119 crates — strongest ecosystem trust.