JupyterLabvsSRS
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | SRS | |
|---|---|---|
| Score | 78/100 | 78/100 |
| Rank in category | #1 of 3 in Data Science | #4 of 118 in Media Server |
| GitHub stars | 15 380 | 29 391 |
| Stars, last 30 days | +60 | +112 |
| Stable releases, 12 months | 13 | 13 |
| Latest release | v4.6.5 · 29 Oct 2026 | v7.0-a3 · 25 Oct 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | MIT |
| Main language | Typescript | C |
Which one should you pick?
JupyterLab and SRS score the same (78/100), so the choice comes down to the details below.
If you want the quickest setup, JupyterLab is easier to run; SRS needs more configuration.
JupyterLab details →SRS details →
Swap a project
Keep JupyterLab, compare it with
Keep SRS, compare it with