JupyterLabvsSuperset
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | Superset | |
|---|---|---|
| Score | 78/100 | 88/100 |
| Rank in category | #1 of 3 in Data Science | #1 of 15 in Business Intelligence |
| GitHub stars | 15 379 | 75 348 |
| Stars, last 30 days | +63 | +447 |
| Stable releases, 12 months | 12 | 25 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | superset-helm-chart-0.22.8 · 9 Sept 2026 |
| Setup | Easy | Advanced |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | Apache-2.0 |
| Main language | Typescript | Python |
Which one should you pick?
Superset scores 88/100 against 78/100 for JupyterLab, so it is the safer default.
Superset ships more often: 25 stable releases in the past year, against 12 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; Superset needs more configuration.
Superset is growing faster right now (+447 stars in 30 days).
JupyterLab details →Superset details →
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