Decision Workspace
fpcoa vs ferrolearn-decomp vs efficient_pca
Side-by-side comparison of Rust crates
48
fpcoa
experimentalv0.1.2
Fast PCoA based on randomized SVD
52
ferrolearn-decomp
experimentalv0.2.0
Dimensionality reduction and decomposition for the ferrolearn ML framework
49
efficient_pca
growingv0.1.8
Principal component computation using SVD and covariance matrix trick
Core Metrics
| fpcoa | ferrolearn-decomp | efficient_pca | |
|---|---|---|---|
| Health Score | 48 | 52 | 49 |
| Total Downloads | 715 | 111 | 17.2K |
| 30d Downloads | 41 | 111 | 67 |
| Dependents | 3 | 8 | 2 |
| Releases | 3 | 5 | 9 |
| Last Updated | 102d ago | 2d ago | 184d ago |
| Age | 6m | 22d | 1y |
Health Breakdown
fpcoa
Maintenance
14
Quality
16
Community
5
Popularity
3
Documentation
10
ferrolearn-decomp
Maintenance
13
Quality
11
Community
14
Popularity
2
Documentation
12
efficient_pca
Maintenance
11
Quality
13
Community
7
Popularity
5
Documentation
13
Technical Details
| fpcoa | ferrolearn-decomp | efficient_pca | |
|---|---|---|---|
| Version | 0.1.2 | 0.2.0 | 0.1.8 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | MIT |
| Dependencies | 6 | 10 | 30 |
| Crate Size | 30KB | 123KB | 159KB |
| Features | 5 | 0 | 9 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2021 |
| MSRV | — | 1.85 | — |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •ferrolearn-decomp leads with a health score of 52/100, but none of the options score above 80.
- •efficient_pca has the most downloads (17.2K), suggesting wider adoption.