StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Frameworks
  5. Django Channels vs Tornado

Django Channels vs Tornado

OverviewComparisonAlternatives

Overview

Tornado
Tornado
Stacks530
Followers409
Votes167
GitHub Stars22.3K
Forks5.5K
Django Channels
Django Channels
Stacks100
Followers130
Votes1
GitHub Stars6.3K
Forks816

Django Channels vs Tornado: What are the differences?

Introduction

In this Markdown code, we will provide the key differences between Django Channels and Tornado. Django Channels and Tornado are both popular frameworks used for building real-time web applications. However, there are several notable differences between the two.

  1. Architecture Design: Django Channels is built on top of the Django web framework and provides a layer for handling WebSocket connections, as well as supporting other protocols like HTTP. On the other hand, Tornado is a complete web framework that includes native support for WebSockets, allowing developers to handle real-time communication without any additional libraries or dependencies.

  2. Scalability: Django Channels is designed to work well with Django's traditional synchronous model, making it easier to integrate real-time features into existing Django applications. It uses a hybrid approach where synchronous code is still used for most tasks, while asynchronous code is used for handling long-running operations. Tornado, on the other hand, is built around an asynchronous event-driven model, making it more efficient when handling a large number of concurrent connections and tasks.

  3. WebSocket Support: Django Channels abstracts the WebSocket protocol and provides a high-level API for handling WebSocket connections. It also includes support for Channels, which allows developers to build multi-user apps with WebSockets. Tornado, on the other hand, has native support for WebSockets and provides a low-level API for handling WebSocket connections directly.

  4. Ease of Use: Django Channels provides a higher level of abstraction and follows a more traditional request/response model, making it easier for developers familiar with Django to understand and use. Tornado, on the other hand, has a steeper learning curve and requires developers to understand the asynchronous programming model and the event-driven architecture.

  5. Community and Ecosystem: Django Channels benefits from the large Django community and ecosystem, which provides a wide range of third-party packages, libraries, and documentation. Tornado has its own dedicated community and ecosystem, although it may not be as extensive as Django's.

  6. Maturity and Stability: Django Channels is a relatively newer project compared to Tornado. While Django Channels has gained popularity and is actively maintained, Tornado has been around for longer and has been extensively used in production environments, making it a more mature and stable choice for building real-time web applications.

In summary, Django Channels and Tornado differ in their architecture design, scalability, WebSocket support, ease of use, community and ecosystem, as well as maturity and stability. Developers should consider these differences when choosing the appropriate framework for their real-time web application needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Tornado
Tornado
Django Channels
Django Channels

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.

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.

Statistics
GitHub Stars
22.3K
GitHub Stars
6.3K
GitHub Forks
5.5K
GitHub Forks
816
Stacks
530
Stacks
100
Followers
409
Followers
130
Votes
167
Votes
1
Pros & Cons
Pros
  • 37
    Open source
  • 31
    So fast
  • 27
    Great for microservices architecture
  • 20
    Websockets
  • 17
    Simple
Cons
  • 2
    Event loop is complicated
Pros
  • 1
    Open source
Integrations
Python
Python
No integrations available

What are some alternatives to Tornado, 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.

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.

Android SDK

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase