Decision Workspace
mlrs-core vs memvid-ask-model vs mistralrs
Side-by-side comparison of Rust crates
40
mlrs-core
experimentalv0.1.0
Core RLM engine — recursive LLM inference via Rhai scripting
63
memvid-ask-model
growingv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
61
mistralrs
experimentalv0.8.1
Fast, flexible LLM inference.
Core Metrics
| mlrs-core | memvid-ask-model | mistralrs | |
|---|---|---|---|
| Health Score | 40 | 63 | 61 |
| Total Downloads | 15 | 877 | 43.1K |
| 30d Downloads | 0 | 0 | 19.9K |
| Dependents | 0 | 25 | 132 |
| Releases | 1 | 27 | 5 |
| Last Updated | 32d ago | 73d ago | 53d ago |
| Age | 1m | 6m | 3m |
Health Breakdown
mlrs-core
Maintenance
11
Quality
12
Community
6
Popularity
1
Documentation
10
memvid-ask-model
Maintenance
16
Quality
18
Community
10
Popularity
4
Documentation
15
mistralrs
Maintenance
15
Quality
13
Community
12
Popularity
6
Documentation
15
Technical Details
| mlrs-core | memvid-ask-model | mistralrs | |
|---|---|---|---|
| Version | 0.1.0 | 2.0.139 | 0.8.1 |
| Stable (≥1.0) | ✗ No | ✓ Yes | ✗ No |
| License | MIT OR Apache-2.0 | Apache-2.0 | MIT |
| Dependencies | 9 | 9 | 20 |
| Crate Size | 10KB | 53KB | 111KB |
| Features | 0 | 2 | 8 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | — | 1.85.0 | 1.88 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 63/100, but none of the options score above 80.
- •mistralrs has the most downloads (43.1K), suggesting wider adoption.
- •mistralrs is depended on by 132 crates — strongest ecosystem trust.
- •mlrs-core, mistralrs are pre-1.0 — API may change.