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  1. Stackups
  2. Application & Data
  3. Microframeworks
  4. Microframeworks
  5. AIOHTTP vs Flask

AIOHTTP vs Flask

OverviewDecisionsComparisonAlternatives

Overview

Flask
Flask
Stacks19.3K
Followers16.2K
Votes60
AIOHTTP
AIOHTTP
Stacks125
Followers143
Votes0
GitHub Stars16.1K
Forks2.2K

AIOHTTP vs Flask: What are the differences?

Introduction

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.

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Advice on Flask, AIOHTTP

Kristan Eres
Kristan Eres

Senior Solutions Analyst

Jul 30, 2020

Needs adviceonDjangoDjangoPythonPythonFlaskFlask

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?

392k views392k
Comments
Saurav
Saurav

Application Devloper at Bny Mellon

Mar 27, 2020

Needs advice

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.

337k views337k
Comments
Girish
Girish

Software Engineer at FireVisor Systems

Apr 17, 2020

Needs adviceonPythonPythonNamekoNamekoRabbitMQRabbitMQ

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.

310k views310k
Comments

Detailed Comparison

Flask
Flask
AIOHTTP
AIOHTTP

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

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.

-
asyncio; client; server;
Statistics
GitHub Stars
-
GitHub Stars
16.1K
GitHub Forks
-
GitHub Forks
2.2K
Stacks
19.3K
Stacks
125
Followers
16.2K
Followers
143
Votes
60
Votes
0
Pros & Cons
Pros
  • 10
    For it flexibility
  • 9
    Flexibilty and easy to use
  • 7
    User friendly
  • 6
    Secured
  • 5
    Unopinionated
Cons
  • 10
    Not JS
  • 7
    Context
  • 5
    Not fast
  • 1
    Don't has many module as in spring
No community feedback yet

What are some alternatives to Flask, AIOHTTP?

ExpressJS

ExpressJS

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

Django REST framework

Django REST framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

Sails.js

Sails.js

Sails is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture.

Sinatra

Sinatra

Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.

Lumen

Lumen

Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching.

Slim

Slim

Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself.

Fastify

Fastify

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

Falcon

Falcon

Falcon is a minimalist WSGI library for building speedy web APIs and app backends. We like to think of Falcon as the Dieter Rams of web frameworks.

hapi

hapi

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

TypeORM

TypeORM

It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

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