JupyterLabvsPostHog
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | PostHog | |
|---|---|---|
| Score | 78/100 | 81/100 |
| Rank in category | #1 of 3 in Data Science | #1 of 27 in Analytics |
| GitHub stars | 15 379 | 40 493 |
| Stars, last 30 days | +63 | +584 |
| Stable releases, 12 months | 11 | 3490 |
| Latest release | v4.7.0a2 · 21 Sept 2026 | agent-skills-v0.3878.0 · 28 Oct 2026 |
| Setup | Easy | Advanced |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | Other |
| Main language | Typescript | Python |
Which one should you pick?
PostHog scores 81/100 against 78/100 for JupyterLab, so it is the safer default.
PostHog ships more often: 3490 stable releases in the past year, against 11 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; PostHog needs more configuration.
PostHog is growing faster right now (+584 stars in 30 days).
JupyterLab details →PostHog details →
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