# llama.cpp vs Transformer Lab

> Two self-hosted [LLM Inference projects](https://selfhost.directory/llm-inference), compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | llama.cpp | Transformer Lab |
|---|---|---|
| Score | 93/100 ✓ | 61/100 |
| Rank in category | #2 of 25 in LLM Inference | #12 of 25 in LLM Inference |
| GitHub stars | 132 674 ✓ | 5 200 |
| Stars, last 30 days | +3 317 ✓ | +3 |
| Stable releases, 12 months | 1461 ✓ | 9 |
| Latest release | b11972 · 28 Oct 2026 ✓ | v0.40.1 · 19 Jun 2026 |
| Setup | Moderate ✓ | Moderate |
| Official Docker image | Yes ✓ | No |
| License | MIT | AGPL-3.0 |
| Main language | C++ | Python |

## Which one should you pick?

llama.cpp scores 93/100 against 61/100 for Transformer Lab, so it is the safer default.

llama.cpp ships more often: 1461 stable releases in the past year, against 9 for Transformer Lab.

llama.cpp is growing faster right now (+3 317 stars in 30 days).

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [Transformer Lab](https://selfhost.directory/project/transformerlab-app) (markdown: https://selfhost.directory/project/transformerlab-app.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-transformerlab-app