Decision Workspace
treeboost vs ferrolearn-tree vs xgboost-rust
Side-by-side comparison of Rust crates
42
treeboost
experimentalv0.1.0
High-performance Gradient Boosted Decision Tree engine for large-scale tabular data
53
ferrolearn-tree
experimentalv0.2.0
Decision tree and ensemble models for the ferrolearn ML framework
43
xgboost-rust
experimentalv0.1.0
Rust bindings for XGBoost, a gradient boosting library for machine learning. Downloads XGBoost binaries at build time for cross-platform compatibility.
Core Metrics
| treeboost | ferrolearn-tree | xgboost-rust | |
|---|---|---|---|
| Health Score | 42 | 53 | 43 |
| Total Downloads | 108 | 97 | 311 |
| 30d Downloads | 43 | 97 | 118 |
| Dependents | 0 | 9 | 0 |
| Releases | 2 | 4 | 1 |
| Last Updated | 78d ago | 2d ago | 92d ago |
| Age | 2m | 22d | 3m |
Health Breakdown
treeboost
Maintenance
10
Quality
11
Community
6
Popularity
2
Documentation
13
ferrolearn-tree
Maintenance
13
Quality
12
Community
14
Popularity
2
Documentation
12
xgboost-rust
Maintenance
8
Quality
15
Community
5
Popularity
3
Documentation
12
Technical Details
| treeboost | ferrolearn-tree | xgboost-rust | |
|---|---|---|---|
| Version | 0.1.0 | 0.2.0 | 0.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | Apache-2.0 | MIT OR Apache-2.0 | Apache-2.0 |
| Dependencies | 30 | 9 | 4 |
| Crate Size | 606KB | 91KB | 41KB |
| Features | 5 | 0 | 2 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | — | 1.85 | 1.70 |
| 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.
- •xgboost-rust has the most downloads (311), suggesting wider adoption.