FlagsmithvsJupyterLab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Flagsmith | JupyterLab | |
|---|---|---|
| Score | 73/100 | 78/100 |
| Rank in category | #2 of 8 in Feature Flags | #1 of 3 in Data Science |
| GitHub stars | 6 629 | 15 379 |
| Stars, last 30 days | +61 | +63 |
| Stable releases, 12 months | 65 | 12 |
| Latest release | v2.287.0 · 20 Oct 2026 | v4.7.0b0 · 28 Oct 2026 |
| Setup | Moderate | Easy |
| Official Docker image | Yes | No |
| License | BSD-3-Clause | BSD-3-Clause |
| Main language | Python | Typescript |
Which one should you pick?
JupyterLab scores 78/100 against 73/100 for Flagsmith, so it is the safer default.
Flagsmith ships more often: 65 stable releases in the past year, against 12 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; Flagsmith needs more configuration.
Flagsmith details →JupyterLab details →
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