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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.

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What is asyncio?

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.

What is Celery?

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.
Why do developers choose asyncio?
Why do developers choose Celery?

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    What tools integrate with asyncio?
    What tools integrate with Celery?
      No integrations found
      What are some alternatives to asyncio and Celery?
      Flask
      Flask is intended for getting started very quickly and was developed with best intentions in mind.
      gevent
      It is a coroutine -based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop.
      Node.js
      Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
      Tornado
      By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
      Twisted
      Twisted is an event-driven networking engine written in Python and licensed under the open source ​MIT license. Twisted runs on Python 2 and an ever growing subset also works with Python 3. Twisted also supports many common network protocols, including SMTP, POP3, IMAP, SSHv2, and DNS.
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      Reviews of asyncio and Celery
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      How developers use asyncio and Celery
      Avatar of Kalibrr
      Kalibrr uses CeleryCelery

      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.

      Avatar of Cloudify
      Cloudify uses CeleryCelery

      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.

      Avatar of MOKA Analytics
      MOKA Analytics uses CeleryCelery

      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

      Avatar of Yaakov Gesher
      Yaakov Gesher uses CeleryCelery

      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.

      Avatar of Dieter Adriaenssens
      Dieter Adriaenssens uses CeleryCelery

      Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

      How much does asyncio cost?
      How much does Celery cost?
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