Decision Workspace
ferrolearn-kernel vs egobox-gp vs egobox-moe
Side-by-side comparison of Rust crates
51
ferrolearn-kernel
experimentalv0.4.0
Kernel methods for the ferrolearn ML framework: Nadaraya-Watson and local polynomial regression, Gaussian processes (regression and Laplace-approximation classification), kernel ridge, Nyström approximation, and RBF random Fourier features
60
egobox-gp
growingv0.36.1
A library for gaussian process modeling
57
egobox-moe
growingv0.35.3
A library for mixture of expert gaussian processes
Core Metrics
| ferrolearn-kernel | egobox-gp | egobox-moe | |
|---|---|---|---|
| Health Score | 51 | 60 | 57 |
| Total Downloads | 91 | 67.0K | 52.2K |
| 30d Downloads | 0 | 3.2K | 1.0K |
| Dependents | 2 | 142 | 91 |
| Releases | 5 | 51 | 53 |
| Last Updated | 12d ago | 48d ago | 44d ago |
| Age | 2m | 4y 1m | 4y 1m |
Health Breakdown
ferrolearn-kernel
Maintenance
13
Quality
12
Community
12
Popularity
2
Documentation
12
egobox-gp
Maintenance
19
Quality
13
Community
12
Popularity
6
Documentation
10
egobox-moe
Maintenance
17
Quality
13
Community
11
Popularity
6
Documentation
10
Technical Details
| ferrolearn-kernel | egobox-gp | egobox-moe | |
|---|---|---|---|
| Version | 0.4.0 | 0.36.1 | 0.35.3 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | Apache-2.0 |
| Dependencies | 12 | 27 | 28 |
| Crate Size | 92KB | 53KB | 65KB |
| Features | 0 | 4 | 4 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | 1.85 | — | — |
| Owners | 3 (team) | 1 | 1 |
Links
Quick Verdict
- •egobox-gp leads with a health score of 60/100, but none of the options score above 80.
- •egobox-gp is depended on by 142 crates — strongest ecosystem trust.