# Concat vs llama.cpp

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

| | Concat | llama.cpp |
|---|---|---|
| Score | 82/100 | 93/100 ✓ |
| Rank in category | #1 of 18 in Video Processing | #2 of 25 in LLM Inference |
| GitHub stars | 12 454 | 132 689 ✓ |
| Stars, last 30 days | +2 455 | +3 234 ✓ |
| Stable releases, 12 months | 6 | 1464 ✓ |
| Latest release | v0.2.8 · 20 Oct 2026 | b11978 · 29 Oct 2026 ✓ |
| Setup | Easy ✓ | Moderate |
| Official Docker image | No | Yes ✓ |
| License | AGPL-3.0 | MIT |
| Main language | Rust | C++ |

## Which one should you pick?

llama.cpp scores 93/100 against 82/100 for Concat, so it is the safer default.

llama.cpp ships more often: 1464 stable releases in the past year, against 6 for Concat.

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

## Details

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

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