Decision Workspace
sklears-decomposition vs ferrolearn-decomp vs ppca
Side-by-side comparison of Rust crates
57
sklears-decomposition
experimentalv0.1.1
Matrix decomposition algorithms for sklears: PCA, ICA, NMF, SVD
53
ferrolearn-decomp
experimentalv0.4.0
Dimensionality reduction and decomposition for the ferrolearn ML framework
35
ppca
growingv0.5.0
Rust implementation of the Probabilistic Principal Component Analysis model
Core Metrics
| sklears-decomposition | ferrolearn-decomp | ppca | |
|---|---|---|---|
| Health Score | 57 | 53 | 35 |
| Total Downloads | 496 | 317 | 5.5K |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 6 | 24 | 0 |
| Releases | 6 | 8 | 4 |
| Last Updated | 29d ago | 12d ago | 653d ago |
| Age | 7m | 2m | 3y 5m |
Health Breakdown
sklears-decomposition
Maintenance
20
Quality
14
Community
8
Popularity
3
Documentation
12
ferrolearn-decomp
Maintenance
12
Quality
11
Community
15
Popularity
3
Documentation
12
ppca
Maintenance
4
Quality
13
Community
6
Popularity
4
Documentation
8
Technical Details
| sklears-decomposition | ferrolearn-decomp | ppca | |
|---|---|---|---|
| Version | 0.1.1 | 0.4.0 | 0.5.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | Apache-2.0 | MIT OR Apache-2.0 | non-standard |
| Dependencies | 15 | 10 | 10 |
| Crate Size | 304KB | 123KB | 22KB |
| Features | 7 | 0 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | 1.89 | 1.85 | — |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •sklears-decomposition leads with a health score of 57/100, but none of the options score above 80.
- •ppca has the most downloads (5.5K), suggesting wider adoption.
- •⚠ ppca has not been updated in over a year.