JupyterLabvsStash
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | Stash | |
|---|---|---|
| Score | 78/100 | 78/100 |
| Rank in category | #1 of 3 in Data Science | #2 of 142 in Media Management |
| GitHub stars | 15 380 | 13 311 |
| Stars, last 30 days | +60 | +301 |
| Stable releases, 12 months | 12 | 7 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | latest_develop · 24 Jun 2026 |
| Setup | Easy | Easy |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | AGPL-3.0 |
| Main language | Typescript | Go |
Which one should you pick?
JupyterLab and Stash score the same (78/100), so the choice comes down to the details below.
JupyterLab ships more often: 12 stable releases in the past year, against 7 for Stash.
Stash is growing faster right now (+301 stars in 30 days).
JupyterLab details →Stash details →
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