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AIOHTTP vs Flask: What are the differences?

AIOHTTP: 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.; Flask: a microframework for Python based on Werkzeug, Jinja 2 and good intentions. Flask is intended for getting started very quickly and was developed with best intentions in mind.

AIOHTTP and Flask can be primarily classified as "Microframeworks (Backend)" tools.

Flask is an open source tool with 45.2K GitHub stars and 12.7K GitHub forks. Here's a link to Flask's open source repository on GitHub.

Advice on AIOHTTP and Flask
Senior Solutions Analyst · | 8 upvotes · 299.1K views

My journey to developing REST APIs started with Flask Restful, and I've found it to be enough for the needs of my project back then. Now that I've started investing more time on personal projects, I've yet to decide if I should move to use Django for writing REST APIs. I often see job posts looking for Python+Django developers, but it's usually for full-stack developers. I'm primarily interested in Data Engineering, so most of my web projects are back end.

Should I continue with what I know (Flask) or move on to Django?

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Rafael Torres
Technical Lead at 4Agile · | 9 upvotes · 289.7K views

If you want to be a Web developer with knowledge in another frontend and NoSql technology, maybe continue with Flask. However, if you want to create very fast solutions to grow up with a new business and merge these with data analysis and other tools, Django is the answer. Basically read more about the service architecture where you feel more comfortable, Microservice or Monolithic, but please will not married with any because they solve issues to different contexts.

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Girish Sharma
Software Engineer at FireVisor Systems · | 6 upvotes · 236.8K views
Needs advice

Which is the best Python framework for microservices?

We are using Nameko for building microservices in Python. The things we really like are dependency injection and the ease with which one can expose endpoints via RPC over RabbitMQ. We are planning to try a tool that helps us write polyglot microservices and nameko is not super compatible with it. Also, we are a bit worried about the not so good community support from nameko and looking for a python alternate to write microservices.

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Bottle is much less bloated and fast. Its built-in templating system is one of the fastest as it compiles the templates in bytecode. Also Bottle has no depenencies, preventing dependency bloat.

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Saurav Pandit
Application Devloper at Bny Mellon · | 6 upvotes · 247.2K views

I have just started learning Python 3 weeks ago. I want to create a REST API using python. The API will be used to save form data in an Oracle database. The front end is using AngularJS 8 with Angular Material. In python, there are so many frameworks to develop REST APIs.

I am looking for some suggestions which REST framework to choose?

Here are some features I am looking for:

  • Easy integration and unit testing, like in Angular. We just want to run a command.

  • Code packaging, like in java maven project we can build and package. I am looking for something which I can push in as an artifact and deploy whole code as a package.

  • Support for swagger/ OpenAPI

  • Support for JSON Web Token

  • Support for test case coverage report

Framework can have features included or can be available by extension. Also, you can suggest a framework other than the ones I have mentioned.

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For starters flask provides a beautiful and easy way to create REST APIs. Also its supported by excellent beginner docs as well as a very active community. Another good thing with Flask is its widely available list of plugins which allow you to build as you go. Its also good in performance and can scale to a quite decent level. However, if you are sure your project is going to be fairly big, it would be better to start with Django as it provides a lot of features out of the box and is extremely stable in performance. Both these frameworks have support for Swagger, JWT, Coverage Report although you have to install plugins for them. Deploying both of these are fairly simple and there is huge documentation available. Django has one of the best documentations I have come across. I hope I was able to answer your queries.

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Pros of Flask
    Be the first to leave a pro
    • 55
      Easy to setup and get it going
    • 51
      Easy to develop and maintain applications
    • 48
      Easy to get started
    • 22
      Beautiful code
    • 19
      Rapid development
    • 16
    • 15
    • 14
    • 14
    • 14
      Simple to use
    • 13
      Love it
    • 13
    • 13
      Get started quickly
    • 12
    • 11
      Easy to integrate
    • 11
      Perfect for small to large projects with superb docs.
    • 10
      For it flexibility
    • 9
    • 9
      Flexibilty and easy to use
    • 8
      Not JS
    • 8
    • 7
      User friendly
    • 6
    • 5
    • 3
    • 2
    • 1
      Easy to use
    • 1
    • 1
    • 1
    • 1
    • 1
    • 0
      Open source
    • 0
      Well designed

    Sign up to add or upvote prosMake informed product decisions

    Cons of AIOHTTP
    Cons of Flask
      Be the first to leave a con
      • 10
        Not JS
      • 7
      • 5
        Not fast
      • 1
        Don't has many module as in spring

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is AIOHTTP?

      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.

      What is Flask?

      Flask is intended for getting started very quickly and was developed with best intentions in mind.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention AIOHTTP and Flask as a desired skillset
      United Kingdom of Great Britain and Northern Ireland England Birmingham
      United Kingdom of Great Britain and Northern Ireland England London
      What companies use AIOHTTP?
      What companies use Flask?
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      What tools integrate with AIOHTTP?
      What tools integrate with Flask?

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      Blog Posts

      What are some alternatives to AIOHTTP and Flask?
      GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
      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.
      Sanic is a Flask-like Python 3.5+ web server that's written to go fast. It's based on the work done by the amazing folks at magicstack. On top of being Flask-like, Sanic supports async request handlers.
      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.
      This module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives.
      See all alternatives