Decision Workspace
rafor vs fru-arrow vs ferrolearn-tree
Side-by-side comparison of Rust crates
42
rafor
experimentalv0.3.0
Fast Random Forest library.
41
fru-arrow
experimentalv0.1.0
Blazingly fast implementation of Random Forest with apache arrow support
53
ferrolearn-tree
experimentalv0.4.0
Decision tree and ensemble models for the ferrolearn ML framework
Core Metrics
| rafor | fru-arrow | ferrolearn-tree | |
|---|---|---|---|
| Health Score | 42 | 41 | 53 |
| Total Downloads | 734 | 14 | 261 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 0 | 18 |
| Releases | 4 | 1 | 7 |
| Last Updated | 151d ago | 8d ago | 12d ago |
| Age | 9m | 8d | 2m |
Health Breakdown
rafor
Maintenance
12
Quality
11
Community
6
Popularity
3
Documentation
10
fru-arrow
Maintenance
12
Quality
13
Community
5
Popularity
1
Documentation
10
ferrolearn-tree
Maintenance
13
Quality
11
Community
14
Popularity
3
Documentation
12
Technical Details
| rafor | fru-arrow | ferrolearn-tree | |
|---|---|---|---|
| Version | 0.3.0 | 0.1.0 | 0.4.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | GPL-3.0-or-later | MIT OR Apache-2.0 |
| Dependencies | 6 | 7 | 9 |
| Crate Size | 809KB | 20KB | 110KB |
| Features | 0 | 0 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | — | — | 1.85 |
| Owners | 1 | 1 | 3 (team) |
Links
Quick Verdict
- •ferrolearn-tree leads with a health score of 53/100, but none of the options score above 80.
- •rafor has the most downloads (734), suggesting wider adoption.