Decision Workspace
chunkedrs vs memvid-ask-model vs text-splitter
Side-by-side comparison of Rust crates
53
chunkedrs
experimentalv1.0.1
AI-native text chunking — recursive, markdown-aware, and semantic splitting with token-accurate boundaries
64
memvid-ask-model
experimentalv2.0.139
LLM inference module for Memvid Q&A with local and cloud model support
59
text-splitter
growingv0.29.3
Split text into semantic chunks, up to a desired chunk size. Supports calculating length by characters and tokens, and is callable from Rust and Python.
Core Metrics
| chunkedrs | memvid-ask-model | text-splitter | |
|---|---|---|---|
| Health Score | 53 | 64 | 59 |
| Total Downloads | 28 | 815 | 1.1M |
| 30d Downloads | 28 | 90 | 113.6K |
| Dependents | 0 | 25 | 654 |
| Releases | 2 | 27 | 60 |
| Last Updated | 19d ago | 14d ago | 87d ago |
| Age | 19d | 4m | 2y 10m |
Health Breakdown
chunkedrs
Maintenance
13
Quality
18
Community
5
Popularity
2
Documentation
15
memvid-ask-model
Maintenance
19
Quality
17
Community
10
Popularity
3
Documentation
15
text-splitter
Maintenance
14
Quality
13
Community
13
Popularity
7
Documentation
12
Technical Details
| chunkedrs | memvid-ask-model | text-splitter | |
|---|---|---|---|
| Version | 1.0.1 | 2.0.139 | 0.29.3 |
| Stable (≥1.0) | ✓ Yes | ✓ Yes | ✗ No |
| License | MIT | Apache-2.0 | MIT |
| Dependencies | 3 | 9 | 21 |
| Crate Size | 30KB | 53KB | 59KB |
| Features | 2 | 2 | 4 |
| Yanked % | 0.0% | 0.0% | 1.7% |
| Edition | 2024 | 2024 | 2021 |
| MSRV | 1.94 | 1.85.0 | 1.83.0 |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •memvid-ask-model leads with a health score of 64/100, but none of the options score above 80.
- •text-splitter has the most downloads (1.1M), suggesting wider adoption.
- •text-splitter is depended on by 654 crates — strongest ecosystem trust.
- •text-splitter is pre-1.0 — API may change.