head to head · open source
airflow vs drasi-platform
airflow has 47,350 GitHub stars, 18,299 forks, 1,831 open issues and last shipped yesterday. drasi-platform has 1,256 stars, 89 forks, 64 open issues and last shipped 24 days ago. airflow leads on adoption by 3,670% (47,350 vs 1,256 stars). airflow is written in Python under Apache-2.0; drasi-platform is written in C# under Apache-2.0. airflow has attracted 39% as many forks as stars, drasi-platform 7%. 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 | drasi-platform | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | C# |
| Last push | 2026-11-02 | 2026-10-10 |
| Forks | ⑂ 18K | ⑂ 89 |
| 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 drasi-platform if
- You want the drasi-platform feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C#
- You evaluated both and drasi-platform 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 drasi-platform
Drasi Drasi is a data processing platform that simplifies detecting changes in data and taking immediate action. It is a comprehensive solution that provides built in capabilities to track system logs and change feeds for specific events, evaluate them for relevance, and automatically initiate appropriate reactions. Visit our documentation site at for detailed information. Drasi is a CNCF Sandbox project Overview Drasi provides real time actionable insights without the overhead of traditional data processing methods. It tracks system changes and events without the need to copy data to a central data lake or…
read the full drasi-platform overview →
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Frequently asked questions
Is airflow or drasi-platform more popular?
airflow has 47,350 GitHub stars and drasi-platform has 1,256. airflow has the larger community by that measure.
Are airflow and drasi-platform free?
Both are open source. airflow is licensed under Apache-2.0 and drasi-platform under Apache-2.0. Neither carries a licence fee.
What is the difference between airflow and drasi-platform?
airflow is written in Python and drasi-platform in C#. 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 drasi-platform?
Choose airflow if you want the larger community (47,350 stars) or its Apache-2.0 licence terms. Choose drasi-platform if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.