Local Deep ResearchvsWorkout.cool
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Local Deep Research | Workout.cool | |
|---|---|---|
| Score | 74/100 | 66/100 |
| Rank in category | #11 of 120 in AI Assistant | #2 of 11 in Fitness Tracker |
| GitHub stars | 9 442 | 8 654 |
| Stars, last 30 days | +312 | +155 |
| Stable releases, 12 months | 24 | 1 |
| Latest release | v1.10.7 · 28 Aug 2026 | v1.3.2 · 7 Dec 2025 |
| Setup | Moderate | Easy |
| Official Docker image | Yes | No |
| License | MIT | MIT |
| Main language | Python | Typescript |
Which one should you pick?
Local Deep Research scores 74/100 against 66/100 for Workout.cool, so it is the safer default.
Local Deep Research ships more often: 24 stable releases in the past year, against 1 for Workout.cool.
If you want the quickest setup, Workout.cool is easier to run; Local Deep Research needs more configuration.
Local Deep Research is growing faster right now (+312 stars in 30 days).
Local Deep Research details →Workout.cool details →
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