Decision Workspace
boruta-rs vs sklears-ensemble vs sklears-feature-selection
Side-by-side comparison of Rust crates
42
boruta-rs
experimentalv0.1.0
Fast parallel Boruta feature selection algorithm in Rust — OOB permutation importance, classification and regression
59
sklears-ensemble
experimentalv0.1.0
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
57
sklears-feature-selection
experimentalv0.1.0
Feature selection algorithms for sklears - scikit-learn compatible ML in Rust
Core Metrics
| boruta-rs | sklears-ensemble | sklears-feature-selection | |
|---|---|---|---|
| Health Score | 42 | 59 | 57 |
| Total Downloads | 13 | 461 | 418 |
| 30d Downloads | 13 | 76 | 36 |
| Dependents | 0 | 12 | 5 |
| Releases | 1 | 5 | 5 |
| Last Updated | 10d ago | 7d ago | 7d ago |
| Age | 10d | 5m | 5m |
Health Breakdown
boruta-rs
Maintenance
12
Quality
13
Community
6
Popularity
1
Documentation
10
sklears-ensemble
Maintenance
21
Quality
14
Community
9
Popularity
3
Documentation
12
sklears-feature-selection
Maintenance
21
Quality
13
Community
8
Popularity
3
Documentation
12
Technical Details
| boruta-rs | sklears-ensemble | sklears-feature-selection | |
|---|---|---|---|
| Version | 0.1.0 | 0.1.0 | 0.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT | Apache-2.0 | Apache-2.0 |
| Dependencies | 14 | 10 | 15 |
| Crate Size | 26KB | 198KB | 323KB |
| Features | 1 | 6 | 2 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | — | 1.70 | 1.70 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •sklears-ensemble leads with a health score of 59/100, but none of the options score above 80.