airbytevsllama.cpp
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| airbyte | llama.cpp | |
|---|---|---|
| Score | 75/100 | 93/100 |
| Rank in category | #1 of 3 in Data Engineering | #2 of 25 in LLM Inference |
| GitHub stars | 22 283 | 132 674 |
| Stars, last 30 days | +157 | +3 317 |
| Stable releases, 12 months | 0 | 1461 |
| Latest release | — | b11972 · 28 Oct 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | Yes |
| License | Other | MIT |
| Main language | Python | C++ |
Which one should you pick?
llama.cpp scores 93/100 against 75/100 for airbyte, so it is the safer default.
llama.cpp ships more often: 1461 stable releases in the past year, against 0 for airbyte.
If you want the quickest setup, llama.cpp is easier to run; airbyte needs more configuration.
llama.cpp is growing faster right now (+3 317 stars in 30 days).
airbyte details →llama.cpp details →
Swap a project
Keep airbyte, compare it with
Keep llama.cpp, compare it with