head to head · open source
airflow vs whodb
airflow has 47,301 GitHub stars, 18,202 forks, 1,831 open issues and last shipped yesterday. whodb has 5,042 stars, 239 forks, 42 open issues and last shipped yesterday. airflow leads on adoption by 838% (47,301 vs 5,042 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.
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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 | 2026-10-28 | 2026-10-28 |
| Forks | ⑂ 18K | ⑂ 239 |
| 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
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
About airflow
Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows (Dags) that orchestrate tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on Dags a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when…
read the full airflow overview →
About whodb
WhoDB A lightweight, self hosted workspace for your databases Available on Quick start · Documentation · Live demo · Community WhoDB gives you one place to explore your databases, edit data, run queries, and understand how a schema fits together. It runs in the browser, is easy to self host, and is available as a desktop app or terminal CLI too. Use it when you want to inspect a local database, help a teammate explore unfamiliar data, or work without installing a heavyweight database client. AI features are optional: connect Ollama, OpenAI, Anthropic, LM Studio, or another OpenAI compatible provider if you want…
read the full whodb overview →
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Frequently asked questions
Is airflow or whodb more popular?
airflow has 47,301 GitHub stars and whodb has 5,042. 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 (47,301 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.