Decision Workspace
ferrolearn-numerical vs optimiz-rs vs optimizr
Side-by-side comparison of Rust crates
52
ferrolearn-numerical
experimentalv0.2.0
Numerical foundations for the ferrolearn ML framework: sparse eigensolvers, graph algorithms, distributions, optimization, interpolation, and quadrature
41
optimiz-rs
experimentalv1.0.0
High-performance optimization algorithms in Rust with Python bindings
35
optimizr
experimentalv1.0.0
High-performance optimization algorithms in Rust with Python bindings
Core Metrics
| ferrolearn-numerical | optimiz-rs | optimizr | |
|---|---|---|---|
| Health Score | 52 | 41 | 35 |
| Total Downloads | 53 | 15 | 13 |
| 30d Downloads | 53 | 3 | 2 |
| Dependents | 2 | 0 | 0 |
| Releases | 3 | 1 | 1 |
| Last Updated | 2d ago | 38d ago | 38d ago |
| Age | 20d | 1m | 1m |
Health Breakdown
ferrolearn-numerical
Maintenance
14
Quality
12
Community
12
Popularity
2
Documentation
12
optimiz-rs
Maintenance
11
Quality
13
Community
6
Popularity
1
Documentation
10
optimizr
Maintenance
11
Quality
7
Community
6
Popularity
1
Documentation
10
Technical Details
| ferrolearn-numerical | optimiz-rs | optimizr | |
|---|---|---|---|
| Version | 0.2.0 | 1.0.0 | 1.0.0 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✓ Yes |
| License | MIT OR Apache-2.0 | MIT | MIT |
| Dependencies | 11 | 13 | 13 |
| Crate Size | 55KB | 5.8MB | 6.1MB |
| Features | 0 | 3 | 3 |
| Yanked % | 0.0% | 0.0% | 100.0% |
| Edition | 2024 | 2021 | 2021 |
| MSRV | 1.85 | — | — |
| Owners | 3 (team) | 1 | 1 |
Links
Quick Verdict
- •ferrolearn-numerical leads with a health score of 52/100, but none of the options score above 80.
- •ferrolearn-numerical is pre-1.0 — API may change.