Decision Workspace
evolve vs u-metaheur vs samyama-optimization
Side-by-side comparison of Rust crates
45
evolve
experimentalv0.4.0
A generic, composable genetic algorithm framework for Rust
49
u-metaheur
experimentalv0.2.0
Domain-agnostic metaheuristic optimization framework: GA, BRKGA, SA, ALNS.
53
samyama-optimization
experimentalv1.1.0
High-performance metaheuristic optimization algorithms (Jaya, Rao, TLBO, BMR, BWR, BMWR, QOJaya, ITLBO, SAMP-Jaya, EHR-Jaya, QO-Rao, SAPHR, MO-BMR/BWR/BMWR, MO-Rao+DE, NSGA-II) in Rust.
Core Metrics
| evolve | u-metaheur | samyama-optimization | |
|---|---|---|---|
| Health Score | 45 | 49 | 53 |
| Total Downloads | 71 | 223 | 214 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 0 | 9 | 0 |
| Releases | 5 | 2 | 14 |
| Last Updated | 7d ago | 78d ago | 34d ago |
| Age | 2m | 3m | 4m |
Health Breakdown
evolve
Maintenance
13
Quality
14
Community
6
Popularity
2
Documentation
10
u-metaheur
Maintenance
13
Quality
14
Community
9
Popularity
3
Documentation
10
samyama-optimization
Maintenance
18
Quality
16
Community
6
Popularity
3
Documentation
10
Technical Details
| evolve | u-metaheur | samyama-optimization | |
|---|---|---|---|
| Version | 0.4.0 | 0.2.0 | 1.1.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✓ Yes |
| License | MIT | MIT | Apache-2.0 |
| Dependencies | 5 | 9 | 7 |
| Crate Size | 70KB | 69KB | 36KB |
| Features | 1 | 4 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2021 | 2021 |
| MSRV | — | — | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •samyama-optimization leads with a health score of 53/100, but none of the options score above 80.
- •u-metaheur has the most downloads (223), suggesting wider adoption.
- •evolve, u-metaheur are pre-1.0 — API may change.