Decision Workspace
scry-learn vs ferrolearn-tree vs sklears-ensemble
Side-by-side comparison of Rust crates
47
scry-learn
experimentalv0.1.0
Machine learning toolkit in pure Rust
53
ferrolearn-tree
experimentalv0.4.0
Decision tree and ensemble models for the ferrolearn ML framework
58
sklears-ensemble
experimentalv0.1.1
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
Core Metrics
| scry-learn | ferrolearn-tree | sklears-ensemble | |
|---|---|---|---|
| Health Score | 47 | 53 | 58 |
| Total Downloads | 63 | 261 | 544 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 1 | 18 | 15 |
| Releases | 1 | 7 | 6 |
| Last Updated | 18d ago | 12d ago | 29d ago |
| Age | 18d | 2m | 7m |
Health Breakdown
scry-learn
Maintenance
12
Quality
11
Community
7
Popularity
2
Documentation
15
ferrolearn-tree
Maintenance
13
Quality
11
Community
14
Popularity
3
Documentation
12
sklears-ensemble
Maintenance
20
Quality
14
Community
9
Popularity
3
Documentation
12
Technical Details
| scry-learn | ferrolearn-tree | sklears-ensemble | |
|---|---|---|---|
| Version | 0.1.0 | 0.4.0 | 0.1.1 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | Apache-2.0 |
| Dependencies | 25 | 9 | 10 |
| Crate Size | 2.0MB | 110KB | 200KB |
| Features | 7 | 0 | 6 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | 1.85.0 | 1.85 | 1.89 |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •sklears-ensemble leads with a health score of 58/100, but none of the options score above 80.