Decision Workspace
memvid-ask-model vs swiftide vs hoosh
Side-by-side comparison of Rust crates
64
memvid-ask-model
experimentalv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
59
swiftide
growingv0.32.1
Fast, streaming indexing, query, and agentic LLM applications in Rust
58
hoosh
experimentalv1.0.0
AI inference gateway — multi-provider LLM routing, local model serving, speech-to-text, and token budget management
Core Metrics
| memvid-ask-model | swiftide | hoosh | |
|---|---|---|---|
| Health Score | 64 | 59 | 58 |
| Total Downloads | 815 | 80.8K | 319 |
| 30d Downloads | 90 | 897 | 332 |
| Dependents | 25 | 68 | 4 |
| Releases | 27 | 91 | 8 |
| Last Updated | 14d ago | 132d ago | today |
| Age | 4m | 1y 9m | 7d |
Health Breakdown
memvid-ask-model
Maintenance
19
Quality
17
Community
10
Popularity
3
Documentation
15
swiftide
Maintenance
13
Quality
15
Community
15
Popularity
6
Documentation
10
hoosh
Maintenance
17
Quality
15
Community
8
Popularity
3
Documentation
15
Technical Details
| memvid-ask-model | swiftide | hoosh | |
|---|---|---|---|
| Version | 2.0.139 | 0.32.1 | 1.0.0 |
| Stable (≥1.0) | ✓ Yes | ✗ No | ✓ Yes |
| License | Apache-2.0 | MIT | AGPL-3.0-only |
| Dependencies | 9 | 27 | 41 |
| Crate Size | 53KB | 88KB | 259KB |
| Features | 2 | 30 | 21 |
| Yanked % | 0.0% | 0.0% | 0.0% |
| Edition | 2024 | 2024 | 2024 |
| MSRV | 1.85.0 | — | 1.89 |
| Owners | 1 | 3 (team) | 1 |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 64/100, but none of the options score above 80.
- •swiftide has the most downloads (80.8K), suggesting wider adoption.
- •swiftide is pre-1.0 — API may change.