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  5. Django Channels vs Django REST framework

Django Channels vs Django REST framework

OverviewDecisionsComparisonAlternatives

Overview

Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312
Django Channels
Django Channels
Stacks100
Followers130
Votes1
GitHub Stars6.3K
Forks816

Django Channels vs Django REST framework: What are the differences?

Introduction

In this Markdown document, we will provide the key differences between Django Channels and Django REST framework. Django Channels is a third-party library for handling WebSockets and other asynchronous protocols in Django. On the other hand, Django REST framework is a powerful and flexible toolkit for building Web APIs.

  1. WebSockets vs REST APIs: The fundamental difference between Django Channels and Django REST framework lies in the protocols they support. Django Channels enables the use of WebSockets, allowing bidirectional communication between the server and clients. It is particularly useful for real-time applications, notifications, chat systems, etc. On the contrary, Django REST framework focuses on building RESTful APIs, which are stateless and leverage HTTP verbs and status codes for communication.

  2. Real-time Capabilities: Django Channels provides the capability to build real-time applications by leveraging WebSockets. It allows for instantaneous bidirectional communication between the server and clients, enabling real-time updates and notifications. On the other hand, Django REST framework is not designed for real-time applications out of the box. Instead, it primarily focuses on creating traditional RESTful APIs that follow a request-response cycle.

  3. Asynchronous Communication: Django Channels is built on top of an asynchronous networking library called "asgiref". This enables Django Channels to handle concurrency and asynchronous I/O efficiently, making it suitable for handling high traffic and long-running connections. In contrast, Django REST framework relies on synchronous processing by default. While it supports asynchronous operations to some extent, it is not as optimized for asynchronous communication as Django Channels.

  4. Authentication and Authorization: Django REST framework provides extensive support for authentication and authorization mechanisms. It includes various authentication schemes like token-based authentication, session authentication, OAuth, etc. Additionally, it provides built-in support for permissions and access control. On the other hand, Django Channels does not have strong built-in support for authentication and authorization. It primarily focuses on the transport layer and does not provide specific features for handling authentication and authorization mechanisms.

  5. Database Integration: Django REST framework seamlessly integrates with Django's ORM (Object-Relational Mapping) and provides powerful tools for working with databases. It offers features like serializer fields for database interactions, database transactions, pagination, filtering, and more. On the other hand, Django Channels does not provide direct support for database operations. However, it can work in conjunction with Django's ORM or other database libraries to perform database operations within the context of WebSockets.

  6. Scalability and Performance: Django Channels is designed to handle concurrency and asynchronous I/O efficiently, making it suitable for scalable applications that require high performance. It supports multiple worker processes and asynchronous task queues, allowing for horizontal scaling. Django REST framework, while not as optimized for asynchronous operations, can still handle high levels of traffic and scalability with proper configuration. It is often used in conjunction with caching mechanisms and load balancers to achieve better performance.

In summary, Django Channels and Django REST framework have distinct differences in terms of the protocols they support, real-time capabilities, asynchronous communication, authentication and authorization features, database integration, and scalability/performance optimizations. These differences make them suitable for different use cases, with Django Channels being specifically designed for real-time communication using WebSockets, while Django REST framework excels at building RESTful APIs.

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Advice on Django REST framework, Django Channels

Kristan Eres
Kristan Eres

Senior Solutions Analyst

Jul 30, 2020

Needs adviceonDjangoDjangoPythonPythonFlaskFlask

My journey to developing REST APIs started with Flask Restful, and I've found it to be enough for the needs of my project back then. Now that I've started investing more time on personal projects, I've yet to decide if I should move to use Django for writing REST APIs. I often see job posts looking for Python+Django developers, but it's usually for full-stack developers. I'm primarily interested in Data Engineering, so most of my web projects are back end.

Should I continue with what I know (Flask) or move on to Django?

392k views392k
Comments
Saurav
Saurav

Application Devloper at Bny Mellon

Mar 27, 2020

Needs advice

I have just started learning Python 3 weeks ago. I want to create a REST API using python. The API will be used to save form data in an Oracle database. The front end is using AngularJS 8 with Angular Material. In python, there are so many frameworks to develop REST APIs.

I am looking for some suggestions which REST framework to choose?

Here are some features I am looking for:

  • Easy integration and unit testing, like in Angular. We just want to run a command.

  • Code packaging, like in java maven project we can build and package. I am looking for something which I can push in as an artifact and deploy whole code as a package.

  • Support for swagger/ OpenAPI

  • Support for JSON Web Token

  • Support for test case coverage report

Framework can have features included or can be available by extension. Also, you can suggest a framework other than the ones I have mentioned.

337k views337k
Comments

Detailed Comparison

Django REST framework
Django REST framework
Django Channels
Django Channels

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

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.

The Web browsable API is a huge usability win for your developers.;Authentication policies including OAuth1a and OAuth2 out of the box.;Serialization that supports both ORM and non-ORM data sources.;Customizable all the way down - just use regular function-based views if you don't need the more powerful features.;Extensive documentation, and great community support.;Used and trusted by large companies such as Mozilla and Eventbrite.
-
Statistics
GitHub Stars
-
GitHub Stars
6.3K
GitHub Forks
-
GitHub Forks
816
Stacks
1.9K
Stacks
100
Followers
2.1K
Followers
130
Votes
312
Votes
1
Pros & Cons
Pros
  • 67
    Easy to use
  • 65
    Browsable api
  • 53
    Great documentation
  • 51
    Customizable
  • 42
    Fast development
Cons
  • 2
    Reimplements Django functionality
  • 2
    Bad documentation
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling
Pros
  • 1
    Open source
Integrations
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless
No integrations available

What are some alternatives to Django REST framework, Django Channels?

Node.js

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.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

ExpressJS

ExpressJS

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

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