JupyterLabvsRStudio Server
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | RStudio Server | |
|---|---|---|
| Score | 78/100 | 67/100 |
| Rank in category | #1 of 3 in Data Science | #21 of 166 in Developer Tools |
| GitHub stars | 15 379 | 5 099 |
| Stars, last 30 days | +63 | +23 |
| Stable releases, 12 months | 12 | 0 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | — |
| Setup | Easy | Moderate |
| Official Docker image | No | No |
| License | BSD-3-Clause | Other |
| Main language | Typescript | Java |
Which one should you pick?
JupyterLab scores 78/100 against 67/100 for RStudio Server, so it is the safer default.
JupyterLab ships more often: 12 stable releases in the past year, against 0 for RStudio Server.
If you want the quickest setup, JupyterLab is easier to run; RStudio Server needs more configuration.
JupyterLab is growing faster right now (+63 stars in 30 days).
JupyterLab details →RStudio Server details →
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