Decision Workspace
sklears-ensemble vs ferrolearn-tree vs biosphere
Side-by-side comparison of Rust crates
59
sklears-ensemble
experimentalv0.1.0
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
53
ferrolearn-tree
experimentalv0.2.0
Decision tree and ensemble models for the ferrolearn ML framework
45
biosphere
growingv0.4.2
Simple, fast random forests.
Core Metrics
| sklears-ensemble | ferrolearn-tree | biosphere | |
|---|---|---|---|
| Health Score | 59 | 53 | 45 |
| Total Downloads | 461 | 97 | 17.9K |
| 30d Downloads | 86 | 97 | 66 |
| Dependents | 12 | 9 | 21 |
| Releases | 5 | 4 | 8 |
| Last Updated | 7d ago | 2d ago | 109d ago |
| Age | 5m | 22d | 4y 2m |
Health Breakdown
sklears-ensemble
Maintenance
21
Quality
14
Community
9
Popularity
3
Documentation
12
ferrolearn-tree
Maintenance
13
Quality
12
Community
14
Popularity
2
Documentation
12
biosphere
Maintenance
10
Quality
13
Community
7
Popularity
5
Documentation
10
Technical Details
| sklears-ensemble | ferrolearn-tree | biosphere | |
|---|---|---|---|
| Version | 0.1.0 | 0.2.0 | 0.4.2 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | Apache-2.0 | MIT OR Apache-2.0 | BSD-3-Clause |
| Dependencies | 10 | 9 | 9 |
| Crate Size | 198KB | 91KB | 21KB |
| Features | 6 | 0 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | 1.70 | 1.85 | — |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •sklears-ensemble leads with a health score of 59/100, but none of the options score above 80.
- •biosphere has the most downloads (17.9K), suggesting wider adoption.