Decision Workspace
irithyll vs lightgbm3 vs sklears-ensemble
Side-by-side comparison of Rust crates
51
irithyll
experimentalv10.0.1
Streaming ML in Rust -- gradient boosted trees, neural architectures (TTT/KAN/MoE/Mamba/SNN), AutoML, kernel methods, and composable pipelines
59
lightgbm3
stablev1.0.10
Rust bindings for LightGBM library
58
sklears-ensemble
experimentalv0.1.1
Ensemble methods for sklears: Random Forest, Gradient Boosting, AdaBoost
Core Metrics
| irithyll | lightgbm3 | sklears-ensemble | |
|---|---|---|---|
| Health Score | 51 | 59 | 58 |
| Total Downloads | 1.0K | 81.7K | 544 |
| 30d Downloads | 0 | 13.4K | 0 |
| Dependents | 0 | 0 | 15 |
| Releases | 62 | 10 | 6 |
| Last Updated | 14d ago | 124d ago | 29d ago |
| Age | 2m | 2y 11m | 7m |
Health Breakdown
irithyll
Maintenance
12
Quality
14
Community
6
Popularity
4
Documentation
15
lightgbm3
Maintenance
12
Quality
22
Community
6
Popularity
6
Documentation
13
sklears-ensemble
Maintenance
20
Quality
14
Community
9
Popularity
3
Documentation
12
Technical Details
| irithyll | lightgbm3 | sklears-ensemble | |
|---|---|---|---|
| Version | 10.0.1 | 1.0.10 | 0.1.1 |
| Stable (≥1.0) | ✓ Yes | ✓ Yes | ✗ No |
| License | MIT OR Apache-2.0 | MIT | Apache-2.0 |
| Dependencies | 18 | 6 | 10 |
| Crate Size | 5.1MB | 36KB | 200KB |
| Features | 13 | 5 | 6 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2021 | 2021 |
| MSRV | 1.75 | — | 1.89 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •lightgbm3 leads with a health score of 59/100, but none of the options score above 80.
- •sklears-ensemble is pre-1.0 — API may change.