Decision Workspace
ferrolearn-decomp vs sklears-decomposition vs efficient_pca
Side-by-side comparison of Rust crates
52
ferrolearn-decomp
experimentalv0.2.0
Dimensionality reduction and decomposition for the ferrolearn ML framework
58
sklears-decomposition
experimentalv0.1.0
Matrix decomposition algorithms for sklears: PCA, ICA, NMF, SVD
49
efficient_pca
growingv0.1.8
Principal component computation using SVD and covariance matrix trick
Core Metrics
| ferrolearn-decomp | sklears-decomposition | efficient_pca | |
|---|---|---|---|
| Health Score | 52 | 58 | 49 |
| Total Downloads | 111 | 441 | 17.2K |
| 30d Downloads | 111 | 36 | 64 |
| Dependents | 8 | 5 | 2 |
| Releases | 5 | 5 | 9 |
| Last Updated | 2d ago | 7d ago | 184d ago |
| Age | 22d | 5m | 1y |
Health Breakdown
ferrolearn-decomp
Maintenance
13
Quality
11
Community
14
Popularity
2
Documentation
12
sklears-decomposition
Maintenance
21
Quality
14
Community
8
Popularity
3
Documentation
12
efficient_pca
Maintenance
11
Quality
13
Community
7
Popularity
5
Documentation
13
Technical Details
| ferrolearn-decomp | sklears-decomposition | efficient_pca | |
|---|---|---|---|
| Version | 0.2.0 | 0.1.0 | 0.1.8 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | MIT |
| Dependencies | 10 | 15 | 30 |
| Crate Size | 123KB | 276KB | 159KB |
| Features | 0 | 6 | 9 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2021 | 2021 |
| MSRV | 1.85 | 1.70 | — |
| Owners | 3 (team) | 1 | 1 |
Links
Quick Verdict
- •sklears-decomposition leads with a health score of 58/100, but none of the options score above 80.
- •efficient_pca has the most downloads (17.2K), suggesting wider adoption.