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asyncio

89
132
+ 1
13
Celery

1.4K
1.4K
+ 1
269
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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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Pros of asyncio
Pros of Celery
  • 4
    Cooperative Multitasking
  • 4
    I/O Wait
  • 3
    Network Call
  • 2
    I/O bound computation
  • 97
    Task queue
  • 62
    Python integration
  • 37
    Django integration
  • 29
    Scheduled Task
  • 18
    Publish/subsribe
  • 6
    Various backend broker
  • 6
    Easy to use
  • 5
    Great community
  • 4
    Free
  • 4
    Workflow
  • 1
    Dynamic

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Cons of asyncio
Cons of Celery
    Be the first to leave a con
    • 4
      Sometimes loses tasks
    • 1
      Depends on broker

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    - No public GitHub repository available -

    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.

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    Jobs that mention asyncio and Celery as a desired skillset
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    CBRE
    United Kingdom of Great Britain and Northern Ireland England Gloucester
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    CBRE
    United States of America Texas Richardson
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    What companies use asyncio?
    What companies use Celery?
    See which teams inside your own company are using asyncio or Celery.
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    What tools integrate with asyncio?
    What tools integrate with Celery?
      No integrations found

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      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.
      See all alternatives