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Django Channels

98
129
+ 1
1
Play

746
604
+ 1
496
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Django Channels vs Play: What are the differences?

What is Django Channels? 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.

What is Play? The High Velocity Web Framework For Java and Scala. Play Framework makes it easy to build web applications with Java & Scala. Play is based on a lightweight, stateless, web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications.

Django Channels and Play can be categorized as "Frameworks (Full Stack)" tools.

Django Channels and Play are both open source tools. It seems that Play with 11.3K GitHub stars and 3.78K forks on GitHub has more adoption than Django Channels with 3.94K GitHub stars and 542 GitHub forks.

Coursera, Zalando, and Keen are some of the popular companies that use Play, whereas Django Channels is used by Webscope.io, NUU, and Deepomatic. Play has a broader approval, being mentioned in 157 company stacks & 252 developers stacks; compared to Django Channels, which is listed in 10 company stacks and 6 developer stacks.

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Pros of Django Channels
Pros of Play
  • 1
    Open source
  • 81
    Scala
  • 55
    Web-friendly architecture
  • 55
    Built on akka
  • 50
    Stateless
  • 47
    High-scalable
  • 46
    Fast
  • 40
    Open source
  • 34
    Java
  • 27
    High velocity
  • 24
    Fun
  • 9
    Lightweight
  • 8
    Non-blocking io
  • 6
    Developer friendly
  • 5
    Simple template engine
  • 4
    Scalability
  • 3
    Pure love
  • 2
    Resource efficient

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Cons of Django Channels
Cons of Play
    Be the first to leave a con
    • 3
      Evolves fast, keep up with releases
    • 1
      Unnecessarily complicated

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    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.

    What is Play?

    Play Framework makes it easy to build web applications with Java & Scala. Play is based on a lightweight, stateless, web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications.

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

    What companies use Django Channels?
    What companies use Play?
    See which teams inside your own company are using Django Channels or Play.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Django Channels?
    What tools integrate with Play?
      No integrations found
      What are some alternatives to Django Channels and Play?
      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.
      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.
      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.
      Pushpin
      Pushpin is a reverse proxy server that makes it easy to build realtime web services. The project is unique among realtime push solutions in that it is designed to address the needs of API creators.
      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.
      See all alternatives