What are the differences between Celery and RQ?
An example of an AI chatbot conversation about Celery and RQ for task queues.
What are the differences between Celery and RQ?
Celery and RQ are both task queue libraries for Python, but they have different features and use cases.
Can you explain the main features of Celery?
Celery supports complex workflows, scheduling, and has a rich ecosystem of tools, making it suitable for large applications.
What about RQ? What makes it unique?
RQ is simpler and easier to set up, focusing on background jobs with Redis as its only backend, which is great for smaller projects.
Which one should I choose for a new project?
It depends on your project's complexity. For simple tasks, RQ is great; for more complex workflows, go with Celery.
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