# ExcaliDash vs llama.cpp

> Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | ExcaliDash | llama.cpp |
|---|---|---|
| Score | 58/100 | 93/100 ✓ |
| Rank in category | #3 of 9 in Whiteboarding | #2 of 25 in LLM Inference |
| GitHub stars | 1 701 | 132 679 ✓ |
| Stars, last 30 days | +120 | +3 322 ✓ |
| Stable releases, 12 months | 8 | 1462 ✓ |
| Latest release | v0.6.6 · 22 Oct 2026 | b11976 · 29 Oct 2026 ✓ |
| Setup | Easy ✓ | Moderate |
| Official Docker image | Yes | Yes |
| License | LGPL-3.0 | MIT |
| Main language | Typescript | C++ |

## Which one should you pick?

llama.cpp scores 93/100 against 58/100 for ExcaliDash, so it is the safer default.

llama.cpp ships more often: 1462 stable releases in the past year, against 8 for ExcaliDash.

If you want the quickest setup, ExcaliDash is easier to run; llama.cpp needs more configuration.

llama.cpp is growing faster right now (+3 322 stars in 30 days).

## Details

- [ExcaliDash](https://selfhost.directory/project/excalidash) (markdown: https://selfhost.directory/project/excalidash.md)
- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)

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Source: https://selfhost.directory/compare/excalidash-vs-llamacpp