Lift Framework vs Tornado: What are the differences?
Developers describe Lift Framework as "The most powerful, most secure web framework available today". Lift creates abstractions that allow easier expression of business logic and then maps those abstractions to HTTP and HTML. This approach differs from traditional web frameworks which build abstractions on top of HTTP and HTML and require the developer to bridge between common business logic patterns and the underlying protocol. On the other hand, Tornado is detailed as "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.
Lift Framework and Tornado can be primarily classified as "Frameworks (Full Stack)" tools.
"Open source" is the primary reason why developers consider Lift Framework over the competitors, whereas "Open source" was stated as the key factor in picking Tornado.
Lift Framework and Tornado are both open source tools. Tornado with 18K GitHub stars and 4.98K forks on GitHub appears to be more popular than Lift Framework with 1.19K GitHub stars and 270 GitHub forks.
What is Lift Framework?
What is Tornado?
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What are the cons of using Lift Framework?
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What tools integrate with Lift Framework?
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.
Tornado with Async/Await coroutines provided in Python 3.5 make up for an excellent stack for a micro-service.