# llama.cpp vs Olah

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

| | llama.cpp | Olah |
|---|---|---|
| Score | 93/100 ✓ | 43/100 |
| Rank in category | #2 of 25 in LLM Inference | #91 of 125 in AI |
| GitHub stars | 132 628 ✓ | 295 |
| Stars, last 30 days | +3 271 | — |
| Stable releases, 12 months | 1457 ✓ | 7 |
| Latest release | b11968 · 28 Oct 2026 ✓ | v0.5.4 · 7 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 43/100 for Olah, so it is the safer default.

llama.cpp ships more often: 1457 stable releases in the past year, against 7 for Olah.

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

llama.cpp is growing faster right now (+3 271 stars in 30 days).

## Details

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

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