Decision Workspace
mop vs samyama-optimization vs graphmind-optimization
Side-by-side comparison of Rust crates
44
mop
growingv0.5.0
Flexible and modular single or multi-objective solver for contiguous and discrete problems
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.
50
graphmind-optimization
experimentalv0.8.6
High-performance metaheuristic optimization algorithms (Jaya, Rao, TLBO, BMR, BWR, QOJaya, ITLBO) in Rust.
Core Metrics
| mop | samyama-optimization | graphmind-optimization | |
|---|---|---|---|
| Health Score | 44 | 53 | 50 |
| Total Downloads | 23.9K | 214 | 287 |
| 30d Downloads | 0 | 0 | 0 |
| Dependents | 3 | 0 | 22 |
| Releases | 14 | 14 | 11 |
| Last Updated | 2108d ago | 34d ago | 57d ago |
| Age | 7y 10m | 4m | 2m |
Health Breakdown
mop
Maintenance
4
Quality
18
Community
8
Popularity
5
Documentation
9
samyama-optimization
Maintenance
18
Quality
16
Community
6
Popularity
3
Documentation
10
graphmind-optimization
Maintenance
14
Quality
13
Community
10
Popularity
3
Documentation
10
Technical Details
| mop | samyama-optimization | graphmind-optimization | |
|---|---|---|---|
| Version | 0.5.0 | 1.1.0 | 0.8.6 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✗ No |
| License | Apache-2.0 | Apache-2.0 | Apache-2.0 |
| Dependencies | 3 | 7 | 7 |
| Crate Size | 4KB | 36KB | 26KB |
| Features | 6 | 0 | 0 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2018 | 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.
- •mop has the most downloads (23.9K), suggesting wider adoption.
- •⚠ mop has not been updated in over a year.
- •mop, graphmind-optimization are pre-1.0 — API may change.