head to head · open source
airflow vs genblaze
airflow has 47,350 GitHub stars, 18,299 forks, 1,831 open issues and last shipped yesterday. genblaze has 552 stars, 30 forks, 65 open issues and last shipped 3 days ago. airflow leads on adoption by 8,478% (47,350 vs 552 stars). airflow is written in Python under Apache-2.0; genblaze is written in Python under MIT. airflow has attracted 39% as many forks as stars, genblaze 5%. 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 | genblaze | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 552 |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 18K | ⑂ 30 |
| 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 genblaze if
- You want the genblaze feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and genblaze 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 genblaze
Genblaze Pipeline SDK for AI generated video, audio, and images with built in provenance. Genblaze is an AI pipeline SDK by Backblaze for building and orchestrating generative media workflows across video, image, and audio. A unified Pipeline API spans providers like OpenAI, Google, Runway, Luma, ElevenLabs, and Stability Audio, plus models served through platforms such as GMI Cloud and NVIDIA NIM ( build.nvidia.com ) — so you swap providers without rewriting orchestration. Every run produces a canonical provenance manifest you can embed directly into media files ( .mp4 , .png , .mp3 , …) and persist to…
read the full genblaze overview →
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Frequently asked questions
Is airflow or genblaze more popular?
airflow has 47,350 GitHub stars and genblaze has 552. airflow has the larger community by that measure.
Are airflow and genblaze free?
Both are open source. airflow is licensed under Apache-2.0 and genblaze under MIT. Neither carries a licence fee.
What is the difference between airflow and genblaze?
airflow is written in Python and genblaze 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 genblaze?
Choose airflow if you want the larger community (47,350 stars) or its Apache-2.0 licence terms. Choose genblaze if its feature set, stack or MIT licence fits better. Both are self-hostable.