asyncio vs Celery: What are the differences?
Developers describe asyncio as "Asynchronous I/O, event loop, coroutines and tasks". This module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives. On the other hand, Celery is detailed as "Distributed task queue". Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
asyncio belongs to "Microframeworks (Backend)" category of the tech stack, while Celery can be primarily classified under "Message Queue".
Celery is an open source tool with 13.1K GitHub stars and 3.36K GitHub forks. Here's a link to Celery's open source repository on GitHub.
According to the StackShare community, Celery has a broader approval, being mentioned in 355 company stacks & 455 developers stacks; compared to asyncio, which is listed in 5 company stacks and 9 developer stacks.
What is asyncio?
What is Celery?
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What are the cons of using asyncio?
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What tools integrate with asyncio?
All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.
For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.
We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.
We plan on migrating to Celery 4 once Azure ASE supports Linux apps
We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.