head to head · open source

airflow vs whodb

airflow has 47,147 GitHub stars, 18,000 forks, 1,831 open issues and last shipped yesterday. whodb has 5,036 stars, 243 forks, 42 open issues and last shipped yesterday. airflow leads on adoption by 836% (47,147 vs 5,036 stars). airflow is written in Python under Apache-2.0; whodb is written in Go under Apache-2.0. airflow has attracted 38% as many forks as stars, whodb 5%. airflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-integration), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

airflow ★ 47K whodb ★ 5.0K category Data & Analytics

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Side by side

airflow whodb
GitHub stars ★ 47K ★ 5.0K
License Apache-2.0 Apache-2.0
Written in Python Go
Last push 2026-10-11 2026-10-11
Forks ⑂ 18K ⑂ 243
Self-hosting Yes Yes
Data ownership Your server Your server

pick airflow if

  • You weight community size — 47K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full airflow profile →

pick whodb if

  • You want the whodb feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Go
  • You evaluated both and whodb fits your workflow better

full whodb profile →

About airflow

Apache Airflow is an open source Python platform for programmatically authoring, scheduling, and monitoring data workflows, aimed at data engineers, data scientists, and MLOps teams who need to orchestrate pipelines as code.

read the full airflow overview →

About whodb

WhoDB is an Apache 2.0, Go based open source data workspace that gives users one place to explore databases, edit data, run queries, and understand how a schema fits together. It runs in the browser, is available as a desktop application, and also provides a terminal CLI, so it fits the open source data engineering and integration ecosystem for internal tools, data platforms, database management, data governance, data integration, data pipelines, data catalogs, data lineage, and ER diagrams.

read the full whodb overview →

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Frequently asked questions

Is airflow or whodb more popular?

airflow has 47,147 GitHub stars and whodb has 5,036. airflow has the larger community by that measure.

Are airflow and whodb free?

Both are open source. airflow is licensed under Apache-2.0 and whodb under Apache-2.0. Neither carries a licence fee.

What is the difference between airflow and whodb?

airflow is written in Python and whodb in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, airflow or whodb?

Choose airflow if you want the larger community (47,147 stars) or its Apache-2.0 licence terms. Choose whodb if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.