AIOHTTP vs Tornado: What are the differences?
Developers describe AIOHTTP as "Asynchronous HTTP Client/Server for asyncio and Python". It is an Async http client/server framework. It supports both client and server Web-Sockets out-of-the-box and avoids Callback It provides Web-server with middlewares and pluggable routing.. 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.
AIOHTTP can be classified as a tool in the "Microframeworks (Backend)" category, while Tornado is grouped under "Frameworks (Full Stack)".
Tornado is an open source tool with 18K GitHub stars and 4.99K GitHub forks. Here's a link to Tornado's open source repository on GitHub.
What is AIOHTTP?
What is Tornado?
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What tools integrate with AIOHTTP?
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.
Investigating Tortoise ORM and GINO ORM...
I need to introduce some async ORM with the current stack: Tornado with asyncio loop, AIOHTTP, with PostgreSQL and MSSQL. This project revolves heavily around realtime and due to the realtime requirements, blocking during database access is not acceptable.
Considering that these ORMs are both young projects, I wondered if anybody had some experience with similar stack and these async ORMs?
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.