# llama.cpp vs meshping

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

| | llama.cpp | meshping |
|---|---|---|
| Score | 93/100 ✓ | 47/100 |
| Rank in category | #2 of 25 in LLM Inference | #31 of 48 in Network Monitoring |
| GitHub stars | 132 699 ✓ | 170 |
| Stars, last 30 days | +3 244 ✓ | +0 |
| Stable releases, 12 months | 1466 ✓ | 0 |
| Latest release | b11980 · 29 Oct 2026 | — |
| Setup | Moderate | Easy ✓ |
| Official Docker image | Yes | Yes |
| License | MIT | MIT |
| Main language | C++ | Python |

## Which one should you pick?

llama.cpp scores 93/100 against 47/100 for meshping, so it is the safer default.

llama.cpp ships more often: 1466 stable releases in the past year, against 0 for meshping.

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

llama.cpp is growing faster right now (+3 244 stars in 30 days).

## Details

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

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