Decision Workspace
amdb vs llm-utl vs rskim-core
Side-by-side comparison of Rust crates
35
amdb
experimentalv0.4.0
Turn your codebase into AI context. A high-performance context generator for LLMs (Cursor, Claude) using Tree-sitter and Vector Search.
58
llm-utl
experimentalv0.1.5
Convert code repositories into LLM-friendly prompts with smart chunking and filtering
55
rskim-core
experimentalv2.0.0
Core library for the most intelligent context optimization engine for coding agents
Core Metrics
| amdb | llm-utl | rskim-core | |
|---|---|---|---|
| Health Score | 35 | 58 | 55 |
| Total Downloads | 170 | 182 | 2.1K |
| 30d Downloads | 15 | 26 | 66 |
| Dependents | 0 | 2 | 17 |
| Releases | 10 | 6 | 17 |
| Last Updated | 42d ago | 100d ago | today |
| Age | 2m | 3m | 5m |
Health Breakdown
amdb
Maintenance
11
Quality
5
Community
6
Popularity
3
Documentation
10
llm-utl
Maintenance
20
Quality
13
Community
7
Popularity
3
Documentation
15
rskim-core
Maintenance
19
Quality
13
Community
9
Popularity
4
Documentation
10
Technical Details
| amdb | llm-utl | rskim-core | |
|---|---|---|---|
| Version | 0.4.0 | 0.1.5 | 2.0.0 |
| Stable (≥1.0) | ✗ No | ✗ No | ✓ Yes |
| License | MIT | MIT | MIT |
| Dependencies | 36 | 18 | 16 |
| Crate Size | 66KB | 72KB | 76KB |
| Features | 0 | 2 | 0 |
| Yanked % | 20.0% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2021 |
| MSRV | — | 1.85.0 | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •llm-utl leads with a health score of 58/100, but none of the options score above 80.
- •rskim-core has the most downloads (2.1K), suggesting wider adoption.
- •amdb, llm-utl are pre-1.0 — API may change.