Decision Workspace
treeboost vs smelt-ml vs ferrolearn-tree
Side-by-side comparison of Rust crates
42
treeboost
experimentalv0.1.0
High-performance Gradient Boosted Decision Tree engine for large-scale tabular data
58
smelt-ml
experimentalv3.0.0
Machine learning framework with spatial modeling, conformal prediction, and gradient boosting competitive with C++
56
ferrolearn-tree
experimentalv0.5.0
Decision tree and ensemble models for the ferrolearn ML framework
Core Metrics
| treeboost | smelt-ml | ferrolearn-tree | |
|---|---|---|---|
| Health Score | 42 | 58 | 56 |
| Total Downloads | 191 | 1.1K | 359 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 58 | 21 |
| Releases | 2 | 29 | 8 |
| Last Updated | 186d ago | 3d ago | 34d ago |
| Age | 6m | 3m | 4m |
Health Breakdown
treeboost
Maintenance
9
Quality
11
Community
6
Popularity
3
Documentation
13
smelt-ml
Maintenance
19
Quality
14
Community
11
Popularity
4
Documentation
10
ferrolearn-tree
Maintenance
18
Quality
11
Community
12
Popularity
3
Documentation
12
Technical Details
| treeboost | smelt-ml | ferrolearn-tree | |
|---|---|---|---|
| Version | 0.1.0 | 3.0.0 | 0.5.0 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✗ No |
| License | Apache-2.0 | MIT | MIT OR Apache-2.0 |
| Dependencies | 30 | 10 | 9 |
| Crate Size | 606KB | 513KB | 231KB |
| Features | 5 | 1 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2024 |
| MSRV | — | — | 1.88 |
| Owners | 1 | 1 | 2 |
Links
Quick Verdict
- •smelt-ml leads with a health score of 58/100, but none of the options score above 80.
- •treeboost, ferrolearn-tree are pre-1.0 — API may change.