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Django REST framework
Django REST framework

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Flask

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Django REST framework vs Flask: What are the differences?

Developers describe Django REST framework as "Web APIs for Django". Django REST framework is a powerful and flexible toolkit that makes it easy to build Web APIs. On the other hand, Flask is detailed as "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.

Django REST framework and Flask can be categorized as "Microframeworks (Backend)" tools.

"Browsable api" is the primary reason why developers consider Django REST framework over the competitors, whereas "Lightweight" was stated as the key factor in picking Flask.

Django REST framework and Flask are both open source tools. Flask with 44.8K GitHub stars and 12.6K forks on GitHub appears to be more popular than Django REST framework with 14.5K GitHub stars and 4.29K GitHub forks.

reddit, Lyft, and MIT are some of the popular companies that use Flask, whereas Django REST framework is used by AX Semantics, Crowdkeep, and Shippo. Flask has a broader approval, being mentioned in 502 company stacks & 509 developers stacks; compared to Django REST framework, which is listed in 159 company stacks and 77 developer stacks.

What is Django REST framework?

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

What is Flask?

Flask is intended for getting started very quickly and was developed with best intentions in mind.
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What are some alternatives to Django REST framework and Flask?
Django
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Tastypie
Tastypie is a webservice API framework for Django. It provides a convenient, yet powerful and highly customizable abstraction for creating REST-style interfaces.
Swagger UI
Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API
Graphene
Graphene is a Python library for building GraphQL schemas/types fast and easily.
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
See all alternatives
Decisions about Django REST framework and Flask
Tim Abbott
Tim Abbott
Founder at Zulip · | 9 upvotes · 72.3K views
atZulipZulip
Django
Django
Django REST framework
Django REST framework

Zulip has been powered by Django since the very early days of its development with Django 1.4, back in 2012. As a reasonably mature web application with significant scale, we're at the stage in many companies' development where one starts to rip out more and more of the web framework to optimize things or just make them work the way we want. (E.g. while I was at Dropbox in early 2016, we discovered we only had about 600 lines of code left from the original Pylons framework that actually ran).

One of the things that has been really fantastic about Django is that we're still happily using it for the vast majority of code in the project, and every time Django comes out with a new release, I read the changelog and get excited about several improvements that actually make my life better. While Django has made some design decisions that I don't agree with (e.g. I'm not a fan of Django REST framework, and think it makes life more difficult), Django also makes it easy to do your own thing, which we've done to great effect (see the linked article for details on our has_request_variables framework).

Overall I think we've gotten a ton of value out of Python and Django and would recommend it to anyone starting a new full-featured web application project today.

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Pierre Chapuis
Pierre Chapuis
at Pierre Chapuis · | 5 upvotes · 68.9K views
atChilliChilli
Flask
Flask
Hug
Hug
SQLAlchemy
SQLAlchemy
Python
Python
Gunicorn
Gunicorn

Unlike our frontend, we chose Flask, a microframework, for our backend. We use it with Python 3 and Gunicorn.

One of the reasons was that I have significant experience with this framework. However, it also was a rather straightforward choice given that our backend almost only serves REST APIs, and that most of the work is talking to the database with SQLAlchemy .

We could have gone with something like Hug but it is kind of early. We might revisit that decision for new services later on.

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Praveen Mooli
Praveen Mooli
Engineering Manager at Taylor and Francis · | 12 upvotes · 341.9K views
MongoDB Atlas
MongoDB Atlas
Java
Java
Spring Boot
Spring Boot
Node.js
Node.js
ExpressJS
ExpressJS
Python
Python
Flask
Flask
Amazon Kinesis
Amazon Kinesis
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon SNS
Amazon SNS
Amazon SQS
Amazon SQS
AWS Lambda
AWS Lambda
Angular 2
Angular 2
RxJS
RxJS
GitHub
GitHub
Travis CI
Travis CI
Terraform
Terraform
Docker
Docker
Serverless
Serverless
Amazon RDS
Amazon RDS
Amazon DynamoDB
Amazon DynamoDB
Amazon S3
Amazon S3
#Backend
#Microservices
#Eventsourcingframework
#Webapps
#Devops
#Data

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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Interest over time
Reviews of Django REST framework and Flask
Avatar of mjhea0
Software Engineer at TestDriven Labs
Review ofFlaskFlask

Flask is a light, yet powerful Python web framework perfect for quickly building smaller web applications. It's a "micro-framework" that's easy to learn and simple to use, so it's perfect for those new to web development as well as those looking to rapidly develop a web application.

How developers use Django REST framework and Flask
Avatar of Jack Littleton
Jack Littleton uses FlaskFlask

I use Flask for times when I need to create a REST API that interfaces with other Python code, or there is no specific reason why I'd want to use Node.JS. I prefer Flask because of its small learning curve, allowing me to get started coding as quickly as possible

Avatar of Cloudify
Cloudify uses FlaskFlask

This lightweight web framework enables quick REST API development while enabling easy clustering, and the usage of multiple worker processes required to scale the REST API service to meet high volume requirements.

Avatar of Yaakov Gesher
Yaakov Gesher uses Django REST frameworkDjango REST framework

Django REST delivered all the content to the BI, making calls to the Postgres DB, aggregating numeric data, and automatically associating data models at the time of row creation.

Avatar of Alec Cunningham
Alec Cunningham uses Django REST frameworkDjango REST framework

Instead of using Django for both back and frontend, I use DRF to layout an API that ReactJs can pull data from. Easy to setup, well documented, and works seamlessly with React.

Avatar of Seungkwon Park
Seungkwon Park uses Django REST frameworkDjango REST framework

django에서 api를 만드는데 최고의 framework라고 생각합니다. 아직은 tutorial 수준의 class base view, function base view 수준으로 사용합니다.

하지만 현재 진행중인 프로젝트의 심화로 REST framework를 심도있게 다룰 예정입니다.

Avatar of Sail Tactics
Sail Tactics uses FlaskFlask

Service to query NOAA weather forecasts data and service to build tidal current forecast maps using AWS EC2 and Geoserver

Avatar of OnlineCity
OnlineCity uses FlaskFlask

Flask drives our APIs, both the Website APIs and the majority of the REST Messaging APIs

Avatar of papaver
papaver uses FlaskFlask

used flask for a few personal projects. enjoyed its simplicity and ease of use.

Avatar of Blair Gemmer
Blair Gemmer uses Django REST frameworkDjango REST framework

Really great framework for building RESTful APIs. Lots of plugins for it!

Avatar of TOMIS
TOMIS uses Django REST frameworkDjango REST framework

For our backend REST API

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