Decision Workspace
fastkmeans-rs vs sklears-clustering vs ferrolearn-cluster
Side-by-side comparison of Rust crates
55
fastkmeans-rs
experimentalv1.0.6
A fast and efficient k-means clustering implementation in Rust, compatible with ndarray
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
| fastkmeans-rs | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Health Score | 55 | 57 | 56 |
| Total Downloads | 1.8K | 537 | 96 |
| 30d Downloads | 854 | 79 | 96 |
| Dependents | 29 | 7 | 8 |
| Releases | 14 | 5 | 4 |
| Last Updated | 3d ago | 7d ago | 2d ago |
| Age | 2m | 5m | 22d |
Health Breakdown
fastkmeans-rs
Maintenance
13
Quality
15
Community
10
Popularity
4
Documentation
13
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
| fastkmeans-rs | sklears-clustering | ferrolearn-cluster | |
|---|---|---|---|
| Version | 1.0.6 | 0.1.0 | 0.2.0 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✗ No |
| License | Apache-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 17 | 19 | 9 |
| Crate Size | 142KB | 295KB | 98KB |
| Features | 7 | 5 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 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.
- •fastkmeans-rs has the most downloads (1.8K), suggesting wider adoption.
- •sklears-clustering, ferrolearn-cluster are pre-1.0 — API may change.