# Apache Airflow vs data-observability-installer

> Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | Apache Airflow | data-observability-installer |
|---|---|---|
| Score | 84/100 ✓ | 43/100 |
| Rank in category | #2 of 32 in Workflow Automation | #2 of 3 in Data Engineering |
| GitHub stars | 47 301 ✓ | 143 |
| Stars, last 30 days | +344 | — |
| Stable releases, 12 months | 7 ✓ | 1 |
| Latest release | providers-ydb/2.6.1 · 13 Oct 2026 ✓ | latest · 15 May 2026 |
| Setup | Advanced | Moderate ✓ |
| Official Docker image | Yes ✓ | No |
| License | Apache-2.0 | Apache-2.0 |
| Main language | Python | Python |

## Which one should you pick?

Apache Airflow scores 84/100 against 43/100 for data-observability-installer, so it is the safer default.

Apache Airflow ships more often: 7 stable releases in the past year, against 1 for data-observability-installer.

If you want the quickest setup, data-observability-installer is easier to run; Apache Airflow needs more configuration.

Apache Airflow is growing faster right now (+344 stars in 30 days).

## Details

- [Apache Airflow](https://selfhost.directory/project/apache-airflow) (markdown: https://selfhost.directory/project/apache-airflow.md)
- [data-observability-installer](https://selfhost.directory/project/data-observability-installer) (markdown: https://selfhost.directory/project/data-observability-installer.md)

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Source: https://selfhost.directory/compare/apache-airflow-vs-data-observability-installer