Decision Workspace
fastkmeans-rs vs sklears-clustering vs ferrolearn-cluster
Side-by-side comparison of Rust crates
61
fastkmeans-rs
growingv1.0.8
A fast and efficient k-means clustering implementation in Rust, compatible with ndarray
59
sklears-clustering
experimentalv0.1.2
Clustering algorithms for sklears: K-means, DBSCAN, hierarchical clustering
55
ferrolearn-cluster
experimentalv0.5.0
Clustering algorithms for the ferrolearn ML framework
Core Metrics
| fastkmeans-rs | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Health Score | 61 | 59 | 55 |
| Total Downloads | 4.9K | 975 | 318 |
| 30d Downloads | 739 | 0 | 0 |
| Dependents | 43 | 11 | 16 |
| Releases | 16 | 7 | 8 |
| Last Updated | 14d ago | 14d ago | 34d ago |
| Age | 6m | 9m | 4m |
Health Breakdown
fastkmeans-rs
Maintenance
18
Quality
16
Community
10
Popularity
4
Documentation
13
sklears-clustering
Maintenance
21
Quality
13
Community
9
Popularity
4
Documentation
12
ferrolearn-cluster
Maintenance
18
Quality
11
Community
11
Popularity
3
Documentation
12
Technical Details
| fastkmeans-rs | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Version | 1.0.8 | 0.1.2 | 0.5.0 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✗ No |
| License | Apache-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 17 | 21 | 9 |
| Crate Size | 144KB | 300KB | 295KB |
| Features | 9 | 5 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2024 |
| MSRV | — | 1.89 | 1.88 |
| Owners | 1 | 1 | 2 |
Links
Quick Verdict
- •fastkmeans-rs leads with a health score of 61/100, but none of the options score above 80.
- •sklears-clustering, ferrolearn-cluster are pre-1.0 — API may change.