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

Flask vs asyncio

OverviewDecisionsComparisonAlternatives

Overview

Flask
Flask
Stacks19.3K
Followers16.2K
Votes60
asyncio
asyncio
Stacks126
Followers158
Votes13

Flask vs asyncio: What are the differences?

Flask vs asyncio

Introduction: Flask and asyncio are both popular frameworks used in web development, but they have distinct differences that make them unique in their own ways. In this comparison, we will explore the key differences between Flask and asyncio.

  1. Programming Paradigm: Flask is a synchronous framework that follows the traditional request-response cycle. It is built on top of the Werkzeug WSGI toolkit. On the other hand, asyncio is an asynchronous framework that allows for non-blocking I/O operations. It is based on an event loop and coroutines, making it ideal for high-performance applications that require concurrency.

  2. Concurrency Model: Flask is single-threaded and relies on blocking I/O, which means it can only handle one request at a time. On the contrary, asyncio is designed for concurrency and can handle multiple requests simultaneously without blocking other tasks. This makes it more efficient in terms of handling multiple connections and enables better scalability.

  3. Asynchronous Support: Flask does not have built-in support for asynchronous programming. It primarily follows a synchronous programming model, where code execution blocks until a response is received. In contrast, asyncio provides native support for asynchronous programming and allows developers to write non-blocking code using coroutines and async/await syntax.

  4. Compatibility: Flask is compatible with both Python 2 and Python 3 versions. It has a larger community and a wide range of plugins and extensions available. On the other hand, asyncio is introduced in Python 3.4+ and is not backward compatible with Python 2. Though it has a growing community, the number of available libraries and plugins might be more limited compared to Flask.

  5. Ease of Use: Flask is known for its simplicity and ease of use. It has a minimalistic design and focuses on making web development straightforward and intuitive. It is a great choice for beginners or small-scale projects. Conversely, asyncio has a steeper learning curve due to its asynchronous nature and the need to understand event loops and coroutines. It is better suited for experienced developers who require high-performance capabilities.

  6. Application Type: Flask is commonly used for building traditional web applications and APIs. It provides easy routing, templating, and form handling features. On the other hand, asyncio is more suitable for building real-time applications, websockets, and other network-bound services that require high-performance I/O operations.

In summary, Flask is a synchronous framework that focuses on simplicity and is great for beginners or small projects, while asyncio is an asynchronous framework that enables high-performance, non-blocking I/O operations and is better suited for experienced developers who require concurrency and scalability.

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Advice on Flask, asyncio

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
asyncio
asyncio

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

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.

Statistics
Stacks
19.3K
Stacks
126
Followers
16.2K
Followers
158
Votes
60
Votes
13
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
Pros
  • 4
    I/O Wait
  • 4
    Cooperative Multitasking
  • 3
    Network Call
  • 2
    I/O bound computation

What are some alternatives to Flask, asyncio?

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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