Django Channels vs Tornado: 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 Tornado? A Python web framework and asynchronous networking library, originally developed at FriendFeed. 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.
Django Channels and Tornado can be categorized as "Frameworks (Full Stack)" tools.
Django Channels and Tornado are both open source tools. Tornado with 18.1K GitHub stars and 5.01K forks on GitHub appears to be more popular than Django Channels with 3.94K GitHub stars and 542 GitHub forks.
According to the StackShare community, Tornado has a broader approval, being mentioned in 77 company stacks & 134 developers stacks; compared to Django Channels, which is listed in 10 company stacks and 6 developer stacks.
What is Django Channels?
What is Tornado?
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What tools integrate with Django Channels?
Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.
SpreadServe's RealTimeWebServer is built in Tornado. Spreadsheets loaded into SpreadServeEngine instances are projected into browsers using Tornado. Server side recalcs are pushed to the browser using web sockets.
setup an api for a client with tornado backend. incredibly fast and lightweight. unfortunately breaks down when using third party libraries which block internally.