Get Advice Icon

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

Celery
Celery

846
501
+ 1
239
Django Channels
Django Channels

17
8
+ 1
0
Add tool

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.

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.
Get Advice Icon

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

Why do developers choose Celery?
Why do developers choose Django Channels?
    Be the first to leave a pro

    Sign up to add, upvote and see more prosMake informed product decisions

    What are the cons of using Celery?
    What are the cons of using Django Channels?
      Be the first to leave a con
      What companies use Celery?
      What companies use Django Channels?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Celery?
      What tools integrate with Django Channels?
        No integrations found
        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.
        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.
        ActiveMQ
        Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
        ZeroMQ
        The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
        See all alternatives
        Decisions about Celery and Django Channels
        No stack decisions found
        Interest over time
        Reviews of Celery and Django Channels
        No reviews found
        How developers use Celery and Django Channels
        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 Celery cost?
        How much does Django Channels cost?
        Pricing unavailable
        Pricing unavailable
        News about Django Channels
        More news