JupyterLabvsmarimo
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | marimo | |
|---|---|---|
| Score | 78/100 | 78/100 |
| Rank in category | #1 of 3 in Data Science | #8 of 166 in Developer Tools |
| GitHub stars | 15 379 | 23 360 |
| Stars, last 30 days | +63 | +474 |
| Stable releases, 12 months | 12 | 21 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | 0.25.2 · 19 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?
JupyterLab and marimo score the same (78/100), so the choice comes down to the details below.
marimo ships more often: 21 stable releases in the past year, against 12 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; marimo needs more configuration.
marimo is growing faster right now (+474 stars in 30 days).
JupyterLab details →marimo details →
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