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AIOHTTP vs Flask: What are the differences?


AIOHTTP and Flask are both web frameworks that are widely used for developing web applications in Python. While they serve a similar purpose, there are key differences between the two.

  1. Async Support: AIOHTTP is built on top of Python's asynchronous capabilities, making it a good choice for building asynchronous web applications. It supports async and await keywords, allowing developers to write non-blocking code. Flask, on the other hand, does not have built-in async support and follows a traditional synchronous model.

  2. Scalability: AIOHTTP is known for its scalability due to its asynchronous nature. It can handle a higher number of concurrent requests efficiently, making it suitable for high-performance applications. Flask, although not specifically built for high scalability, can still handle a decent amount of load.

  3. Middleware Support: AIOHTTP provides built-in support for middleware, allowing developers to easily add functionality and features to their applications. Middleware functions can intercept and modify both incoming and outgoing requests. Flask also supports middleware, but it requires additional libraries to achieve the same level of flexibility.

  4. Template Engine: Flask uses Jinja2 as its default template engine. Jinja2 provides powerful templating capabilities with features like template inheritance and macros. AIOHTTP, on the other hand, does not come with a built-in template engine. It allows developers to choose their preferred template engine or use plain Python code to generate HTML.

  5. Extensibility: Flask is highly extensible and provides a large ecosystem of extensions that can be easily integrated into applications, adding functionality like database integration, authentication, and more. AIOHTTP also has various third-party libraries available for extending its capabilities, but the ecosystem is not as extensive as Flask.

  6. Learning Curve: Flask has a relatively simple and easy-to-understand API, making it a good choice for beginners. It has a smaller codebase and is well-documented, making it easier to get started with. AIOHTTP, on the other hand, has a steeper learning curve, especially for developers who are new to asynchronous programming concepts. It requires a good understanding of asyncio and coroutines.

In Summary, AIOHTTP is a lightweight, scalable framework with built-in async support and middleware capabilities. Flask, on the other hand, is a more beginner-friendly framework with a vast ecosystem of extensions and a powerful template engine. Choose AIOHTTP for high-performance, asynchronous applications and Flask for simplicity and extensibility.

Advice on AIOHTTP and Flask
Senior Solutions Analyst · | 8 upvotes · 350K 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 · 340.5K 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 · 277.5K 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 · 295.2K 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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Replies (1)

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
    • 14
    • 10
      For it flexibility
    • 9
      Flexibilty and easy to use
    • 8
    • 7
      User friendly
    • 6
    • 5
    • 3
    • 2
    • 1
      Beautiful code
    • 1
      Easy to get started
    • 1
      Easy to develop and maintain applications
    • 1
      Not JS
    • 1
      Easy to use
    • 1
    • 1
    • 1
    • 1
    • 1
      Easy to setup and get it going
    • 1
      Perfect for small to large projects with superb docs.
    • 1
      Easy to integrate
    • 1
    • 1
      Get started quickly
    • 1
    • 1
      Simple to use
    • 1
    • 1
      Rapid development
    • 0
      Open source
    • 0
      Well designed
    • 0
    • 0
    • 0
    • 0
      Love it

    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.

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