Decision Workspace
irithyll vs lightgbm3 vs sklears-ensemble
Side-by-side comparison of Rust crates
59
irithyll
experimentalv9.7.2
Streaming machine learning in Rust -- gradient boosted trees, kernel methods, linear models, and composable pipelines
61
lightgbm3
stablev1.0.10
Rust bindings for LightGBM library
59
sklears-ensemble
experimentalv0.1.0
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
Core Metrics
| irithyll | lightgbm3 | sklears-ensemble | |
|---|---|---|---|
| Health Score | 59 | 61 | 59 |
| Total Downloads | 654 | 59.5K | 461 |
| 30d Downloads | 654 | 8.7K | 86 |
| Dependents | 0 | 0 | 12 |
| Releases | 53 | 10 | 5 |
| Last Updated | today | 65d ago | 7d ago |
| Age | 16d | 2y 9m | 5m |
Health Breakdown
irithyll
Maintenance
19
Quality
16
Community
6
Popularity
3
Documentation
15
lightgbm3
Maintenance
14
Quality
22
Community
6
Popularity
6
Documentation
13
sklears-ensemble
Maintenance
21
Quality
14
Community
9
Popularity
3
Documentation
12
Technical Details
| irithyll | lightgbm3 | sklears-ensemble | |
|---|---|---|---|
| Version | 9.7.2 | 1.0.10 | 0.1.0 |
| Stable (≥1.0) | ✓ Yes | ✓ Yes | ✗ No |
| License | MIT OR Apache-2.0 | MIT | Apache-2.0 |
| Dependencies | 17 | 6 | 10 |
| Crate Size | 463KB | 36KB | 198KB |
| Features | 11 | 5 | 6 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | 1.75 | — | 1.70 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •lightgbm3 leads with a health score of 61/100, but none of the options score above 80.
- •sklears-ensemble is pre-1.0 — API may change.