Decision Workspace
gbt-quantile vs ferrolearn-tree vs scry-learn
Side-by-side comparison of Rust crates
42
gbt-quantile
experimentalv0.2.0
Pure-Rust gradient-boosted trees with quantile regression. First GBT crate with pinball loss, early stopping, and JSON-serializable models.
53
ferrolearn-tree
experimentalv0.4.0
Decision tree and ensemble models for the ferrolearn ML framework
47
scry-learn
experimentalv0.1.0
Machine learning toolkit in pure Rust
Core Metrics
| gbt-quantile | ferrolearn-tree | scry-learn | |
|---|---|---|---|
| Health Score | 42 | 53 | 47 |
| Total Downloads | 72 | 261 | 63 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 18 | 1 |
| Releases | 2 | 7 | 1 |
| Last Updated | 58d ago | 12d ago | 18d ago |
| Age | 1m | 2m | 18d |
Health Breakdown
gbt-quantile
Maintenance
11
Quality
13
Community
6
Popularity
2
Documentation
10
ferrolearn-tree
Maintenance
13
Quality
11
Community
14
Popularity
3
Documentation
12
scry-learn
Maintenance
12
Quality
11
Community
7
Popularity
2
Documentation
15
Technical Details
| gbt-quantile | ferrolearn-tree | scry-learn | |
|---|---|---|---|
| Version | 0.2.0 | 0.4.0 | 0.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 4 | 9 | 25 |
| Crate Size | 18KB | 110KB | 2.0MB |
| Features | 0 | 0 | 7 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | — | 1.85 | 1.85.0 |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •ferrolearn-tree leads with a health score of 53/100, but none of the options score above 80.