JupyterLabvsvLLM
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | vLLM | |
|---|---|---|
| Score | 78/100 | 91/100 |
| Rank in category | #1 of 3 in Data Science | #3 of 25 in LLM Inference |
| GitHub stars | 15 379 | 95 785 |
| Stars, last 30 days | +63 | +3 233 |
| Stable releases, 12 months | 12 | 14 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | v0.32.0 · 17 Oct 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | Apache-2.0 |
| Main language | Typescript | Python |
Which one should you pick?
vLLM scores 91/100 against 78/100 for JupyterLab, so it is the safer default.
vLLM ships more often: 14 stable releases in the past year, against 12 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; vLLM needs more configuration.
vLLM is growing faster right now (+3 233 stars in 30 days).
JupyterLab details →vLLM details →
Swap a project
Keep JupyterLab, compare it with
Keep vLLM, compare it with