Hoodie vs Tornado: What are the differences?
Hoodie: A fast offline-first architecture for webapps. Super-simple user management & storage. Great for mobile. We want to enable you to build complete web apps in days, without having to worry about backends, databases or servers, all with an open source library that's as simple to use as jQuery; 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.
Hoodie and Tornado belong to "Frameworks (Full Stack)" category of the tech stack.
"JSON" is the top reason why over 3 developers like Hoodie, while over 34 developers mention "Open source" as the leading cause for choosing Tornado.
Hoodie and Tornado are both open source tools. It seems that Tornado with 18K GitHub stars and 4.98K forks on GitHub has more adoption than Hoodie with 3.51K GitHub stars and 314 GitHub forks.
What is Hoodie?
What is Tornado?
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What are the cons of using Hoodie?
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What tools integrate with Hoodie?
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.