data-observability-installervsOrca
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| data-observability-installer | Orca | |
|---|---|---|
| Score | 43/100 | 91/100 |
| Rank in category | #2 of 3 in Data Engineering | #1 of 209 in AI Agents |
| GitHub stars | 143 | 108 958 |
| Stars, last 30 days | — | +9 051 |
| Stable releases, 12 months | 1 | 15 |
| Latest release | latest · 15 May 2026 | v1.4.243 · 28 Oct 2026 |
| Setup | Moderate | Easy |
| Official Docker image | No | No |
| License | Apache-2.0 | MIT |
| Main language | Python | Typescript |
Which one should you pick?
Orca scores 91/100 against 43/100 for data-observability-installer, so it is the safer default.
Orca ships more often: 15 stable releases in the past year, against 1 for data-observability-installer.
If you want the quickest setup, Orca is easier to run; data-observability-installer needs more configuration.
Orca is growing faster right now (+9 051 stars in 30 days).
data-observability-installer details →Orca details →
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