Celery vs n8n
A side-by-side comparison of two self-hosted automation & workflows options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Celery
Distributed task queue for Python with scheduling support
VS
n8n
Workflow automation with a node-based editor
| Feature | Celery | n8n |
|---|---|---|
| Category | Automation & Workflows | Automation & Workflows |
| License | BSD-3-Clause | Sustainable Use License |
| Language | Python | TypeScript |
| Setup difficulty | Medium | Medium |
| Min. RAM | 256 MB | 512 MB |
| Deployment | bare-metal, binary, source | docker, bare-metal |
| GitHub stars | ★ 28,774 | ★ 199,764 |
| First released | 2009 | 2019 |
| Replaces | AWS Batch, AWS SQS | Zapier, Make |
Why pick each one
Frequently asked questions
Is Celery or n8n better?
Neither is universally better. n8n has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Celery and n8n free and open-source?
Yes. Celery is licensed under BSD-3-Clause and n8n under Sustainable Use License. Both can be self-hosted at no software cost.
Can I run Celery and n8n with Docker?
Celery: check the project docs for container support. n8n: yes.