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Celery

1.4K
1.3K
+ 1
265
Django Channels

81
109
+ 1
1
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Celery vs Django Channels: What are the differences?

Developers describe Celery 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. On the other hand, Django Channels is detailed as "It extends Django's abilities beyond HTTP - to handle WebSockets, chat protocols, IoT protocols". It does this by taking the core of Django and adding a fully asynchronous layer underneath, running Django itself in a synchronous mode but handling connections and sockets asynchronously, and giving you the choice to write in either style.

Celery can be classified as a tool in the "Message Queue" category, while Django Channels is grouped under "Frameworks (Full Stack)".

Celery and Django Channels are both open source tools. It seems that Celery with 13.1K GitHub stars and 3.36K forks on GitHub has more adoption than Django Channels with 3.94K GitHub stars and 542 GitHub forks.

According to the StackShare community, Celery has a broader approval, being mentioned in 355 company stacks & 455 developers stacks; compared to Django Channels, which is listed in 10 company stacks and 6 developer stacks.

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Pros of Celery
Pros of Django Channels
  • 94
    Task queue
  • 61
    Python integration
  • 37
    Django integration
  • 29
    Scheduled Task
  • 18
    Publish/subsribe
  • 6
    Easy to use
  • 6
    Various backend broker
  • 5
    Great community
  • 4
    Workflow
  • 4
    Free
  • 1
    Dynamic
  • 1
    Open source

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

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    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.

    What is Django Channels?

    It does this by taking the core of Django and adding a fully asynchronous layer underneath, running Django itself in a synchronous mode but handling connections and sockets asynchronously, and giving you the choice to write in either style.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Celery?
    What companies use Django Channels?
    See which teams inside your own company are using Celery or Django Channels.
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    What tools integrate with Celery?
    What tools integrate with Django Channels?
      No integrations found

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      What are some alternatives to Celery and Django Channels?
      RabbitMQ
      RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      Airflow
      Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
      Cucumber
      Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.
      Amazon SQS
      Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
      See all alternatives