head to head · open source
Prefect vs django-rq
Prefect has 24,110 GitHub stars, 2,630 forks, 858 open issues and last shipped 2 days ago. django-rq has 1,953 stars, 293 forks, 118 open issues and last shipped 24 days ago. Prefect leads on adoption by 1,135% (24,110 vs 1,953 stars). Prefect is written in Python under Apache-2.0; django-rq is written in Python under MIT. Prefect has attracted 11% as many forks as stars, django-rq 15%. Prefect was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (python), 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.
← all 20902 open source comparisons
Side by side
| Prefect | django-rq | |
|---|---|---|
| GitHub stars | ★ 24K | ★ 2.0K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-10-12 |
| Forks | ⑂ 2.6K | ⑂ 293 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Prefect if
- You weight community size — 24K 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 django-rq if
- You want the django-rq feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and django-rq fits your workflow better
About Prefect
Installation · Quickstart · Build workflows · Deploy workflows · Prefect Cloud Prefect Prefect is a workflow orchestration framework for building data pipelines in Python. It's the simplest way to elevate a script into a production workflow. With Prefect, you can build resilient, dynamic data pipelines that react to the world around them and recover from unexpected changes. With just a few lines of code, data teams can confidently automate any data process with features such as scheduling, caching, retries, and event based automations. Workflow activity is tracked and can be monitored with a self hosted Prefect…
read the full Prefect overview →
About django-rq
Django RQ Django integration with RQ, a Redis based Python queuing library. Django RQ is a simple app that allows you to configure your queues in Django's settings.py and easily use them in your project. Support Django RQ If you find django rq useful, please consider supporting its development via Tidelift. Requirements Django (4.2+) RQ Installation Install django rq (or download from PyPI): Add django rq to INSTALLED APPS in settings.py : Configure your queues in Django's settings.py : Admin Integration New in Version 4.0 Django RQ automatically integrates with Django's admin interface. Once installed, navigate…
read the full django-rq overview →
More in Infrastructure & Operations
Related comparisons
More Orchestration & Scheduling projects
Compare either of these against the rest of the Orchestration & Scheduling field.
Frequently asked questions
Is Prefect or django-rq more popular?
Prefect has 24,110 GitHub stars and django-rq has 1,953. Prefect has the larger community by that measure.
Are Prefect and django-rq free?
Both are open source. Prefect is licensed under Apache-2.0 and django-rq under MIT. Neither carries a licence fee.
What is the difference between Prefect and django-rq?
Prefect is written in Python and django-rq 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, Prefect or django-rq?
Choose Prefect if you want the larger community (24,110 stars) or its Apache-2.0 licence terms. Choose django-rq if its feature set, stack or MIT licence fits better. Both are self-hostable.