llama.cppvsZero to JupyterHub with Kubernetes
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | Zero to JupyterHub with Kubernetes | |
|---|---|---|
| Score | 93/100 | 64/100 |
| Rank in category | #2 of 25 in LLM Inference | #4 of 11 in Container Orchestration |
| GitHub stars | 132 669 | 1 725 |
| Stars, last 30 days | +3 312 | — |
| Stable releases, 12 months | 1461 | 9 |
| Latest release | b11972 · 28 Oct 2026 | 4.4.4 · 20 Oct 2026 |
| Setup | Moderate | Advanced |
| Official Docker image | Yes | Yes |
| License | MIT | Other |
| Main language | C++ | Python |
Which one should you pick?
llama.cpp scores 93/100 against 64/100 for Zero to JupyterHub with Kubernetes, so it is the safer default.
llama.cpp ships more often: 1461 stable releases in the past year, against 9 for Zero to JupyterHub with Kubernetes.
If you want the quickest setup, llama.cpp is easier to run; Zero to JupyterHub with Kubernetes needs more configuration.
llama.cpp is growing faster right now (+3 312 stars in 30 days).
llama.cpp details →Zero to JupyterHub with Kubernetes details →