JupyterLabvsSparkyFitness
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| JupyterLab | SparkyFitness | |
|---|---|---|
| Score | 78/100 | 66/100 |
| Rank in category | #1 of 3 in Data Science | #2 of 11 in Fitness Tracker |
| GitHub stars | 15 380 | 6 504 |
| Stars, last 30 days | +60 | +393 |
| Stable releases, 12 months | 12 | 27 |
| Latest release | v4.7.0b0 · 28 Oct 2026 | v1.10.0 · 29 Oct 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | Yes |
| License | BSD-3-Clause | Other |
| Main language | Typescript | Typescript |
Which one should you pick?
JupyterLab scores 78/100 against 66/100 for SparkyFitness, so it is the safer default.
SparkyFitness ships more often: 27 stable releases in the past year, against 12 for JupyterLab.
If you want the quickest setup, JupyterLab is easier to run; SparkyFitness needs more configuration.
SparkyFitness is growing faster right now (+393 stars in 30 days).
JupyterLab details →SparkyFitness details →
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