head to head · open source
airflow vs Open Wearables
airflow has 47,350 GitHub stars, 18,299 forks, 1,831 open issues and last shipped yesterday. Open Wearables has 2,745 stars, 539 forks, 173 open issues and last shipped yesterday. airflow leads on adoption by 1,625% (47,350 vs 2,745 stars). airflow is written in Python under Apache-2.0; Open Wearables is written in Python under MIT. airflow has attracted 39% as many forks as stars, Open Wearables 20%. airflow was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Open Wearables | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 2.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 18K | ⑂ 539 |
| 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 Open Wearables if
- You want the Open Wearables feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Open Wearables 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 Open Wearables
Open Wearables Documentation : Open source platform that unifies wearable device data from multiple providers and enables AI powered health insights through natural language automations. Build health applications faster with a single API, embeddable widgets, and intelligent webhook notifications. What It Does Open Wearables provides a unified API and developer portal to connect and sync data from multiple wearable devices and fitness platforms. Instead of implementing separate integrations for each provider (e.g., Garmin, Whoop, Apple Health), you can use a single platform to access normalized health data and…
read the full Open Wearables overview →
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Frequently asked questions
Is airflow or Open Wearables more popular?
airflow has 47,350 GitHub stars and Open Wearables has 2,745. airflow has the larger community by that measure.
Are airflow and Open Wearables free?
Both are open source. airflow is licensed under Apache-2.0 and Open Wearables under MIT. Neither carries a licence fee.
What is the difference between airflow and Open Wearables?
airflow is written in Python and Open Wearables in Python. 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 Open Wearables?
Choose airflow if you want the larger community (47,350 stars) or its Apache-2.0 licence terms. Choose Open Wearables if its feature set, stack or MIT licence fits better. Both are self-hostable.