# llama.cpp vs unbagrnd

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

| | llama.cpp | unbagrnd |
|---|---|---|
| Score | 93/100 ✓ | 46/100 |
| Rank in category | #2 of 25 in LLM Inference | #10 of 13 in Image Processing |
| GitHub stars | 132 699 ✓ | 179 |
| Stars, last 30 days | +3 244 ✓ | +0 |
| Stable releases, 12 months | 1465 ✓ | 8 |
| Latest release | b11979 · 29 Oct 2026 ✓ | v0.5.6 · 14 Oct 2026 |
| Setup | Moderate | Easy ✓ |
| Official Docker image | Yes ✓ | No |
| License | MIT | MIT |
| Main language | C++ | Rust |

## Which one should you pick?

llama.cpp scores 93/100 against 46/100 for unbagrnd, so it is the safer default.

llama.cpp ships more often: 1465 stable releases in the past year, against 8 for unbagrnd.

If you want the quickest setup, unbagrnd 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)
- [unbagrnd](https://selfhost.directory/project/unbagrnd) (markdown: https://selfhost.directory/project/unbagrnd.md)

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