# data-observability-installer vs llama.cpp

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

| | data-observability-installer | llama.cpp |
|---|---|---|
| Score | 43/100 | 93/100 ✓ |
| Rank in category | #2 of 3 in Data Engineering | #2 of 25 in LLM Inference |
| GitHub stars | 143 | 132 669 ✓ |
| Stars, last 30 days | — | +3 312 |
| Stable releases, 12 months | 1 | 1461 ✓ |
| Latest release | latest · 15 May 2026 | b11972 · 28 Oct 2026 ✓ |
| Setup | Moderate | Moderate ✓ |
| Official Docker image | No | Yes ✓ |
| License | Apache-2.0 | MIT |
| Main language | Python | C++ |

## Which one should you pick?

llama.cpp scores 93/100 against 43/100 for data-observability-installer, so it is the safer default.

llama.cpp ships more often: 1461 stable releases in the past year, against 1 for data-observability-installer.

llama.cpp is growing faster right now (+3 312 stars in 30 days).

## Details

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

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Source: https://selfhost.directory/compare/data-observability-installer-vs-llamacpp