Decision Workspace
kmeans_uni vs sklears-clustering vs ferrolearn-cluster
Side-by-side comparison of Rust crates
38
kmeans_uni
experimentalv0.1.0
Fast, safe K-Means++ with SIMD acceleration, mini-batch training and WASM support.
57
sklears-clustering
experimentalv0.1.0
Clustering algorithms for sklears: K-means, DBSCAN, hierarchical clustering
56
ferrolearn-cluster
experimentalv0.2.0
Clustering algorithms for the ferrolearn ML framework
Core Metrics
| kmeans_uni | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Health Score | 38 | 57 | 56 |
| Total Downloads | 44 | 537 | 96 |
| 30d Downloads | 3 | 93 | 96 |
| Dependents | 0 | 7 | 8 |
| Releases | 1 | 5 | 4 |
| Last Updated | 109d ago | 7d ago | 2d ago |
| Age | 3m | 5m | 22d |
Health Breakdown
kmeans_uni
Maintenance
7
Quality
13
Community
6
Popularity
2
Documentation
10
sklears-clustering
Maintenance
21
Quality
13
Community
8
Popularity
3
Documentation
12
ferrolearn-cluster
Maintenance
16
Quality
12
Community
14
Popularity
2
Documentation
12
Technical Details
| kmeans_uni | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Version | 0.1.0 | 0.1.0 | 0.2.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 19 | 19 | 9 |
| Crate Size | 37KB | 295KB | 98KB |
| Features | 4 | 5 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2021 | 2024 |
| MSRV | — | 1.70 | 1.85 |
| Owners | 1 | 1 | 3 (team) |
Links
Quick Verdict
- •sklears-clustering leads with a health score of 57/100, but none of the options score above 80.