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Django REST framework
Django REST framework

858
621
+ 1
262
Flask
Flask

4.8K
3.8K
+ 1
1.1K
Rails API
Rails API

59
64
+ 1
16

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.

What is Rails API?

Rails::API is a subset of a normal Rails application, created for applications that don't require all functionality that a complete Rails application provides. It is a bit more lightweight, and consequently a bit faster than a normal Rails application. The main example for its usage is in API applications only, where you usually don't need the entire Rails middleware stack nor template generation.
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    What are some alternatives to Django REST framework, Flask, and Rails API?
    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, Flask, and Rails API
    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.

    See more
    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.

    See more
    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

    See more
    Interest over time
    Reviews of Django REST framework, Flask, and Rails API
    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, Flask, and Rails API
    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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