Django REST framework vs Flask

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Django REST framework

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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.

Advice on Django REST framework and Flask
Needs advice
on
FastAPIFastAPI
and
Django REST frameworkDjango REST framework

Not sure if we should use DRF or FastAPI. I hear many good things about FastAPI, but it doesn't seem to have a big community. Most important things for us: - speed - ease of development - scalability & security

We're likely going to use MongoDB, so not sure if that changes anything. Would appreciate any help!

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Replies (4)
Karan Mittal
Full Stack Engineer-Freelancer at HemansAI · | 5 upvotes · 16.5K views
Recommends
FastAPIFastAPI

I have worked with both frameworks, for your use case I would recommend using FastAPI. DRF, is no doubt an amazing framework and makes various things easy, but Django's MongoDB support is not that good currently, and since its a big framework, there are various things DRF and Django automatically do when you are using their predefined backend engines, which is not in the case of the MonoDB a NoSQL db. FastAPI will give you the flexibility and speed, for the community front, its also growing quite well there.

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Adnan Siddiqi
ETL Developer at Tellus Home · | 5 upvotes · 15.8K views
Recommends
FastAPIFastAPI

FastAPI might not have a big community but the documentation is awesome and covers every aspect of the framework itself. I'd recommend coming up with a pilot project yourself and try it on your own. It has a bit learning curve as FastAPI itself is a combo of a few existing projects otherwise it is amazing.

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Recommends

Depends on if you're building an api/microservice or a monolith. Django has a bigger ecosystem of plugins which may, or may not, save you from writng code yourself. DJango can "kind of" work with mongo, but it's really designed to go along with an SQL database. It's also an aging ecosytem though, with many unmaintained plugins.

FastAPI will win out in pretty much every other respect.

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Recommends

I've used both in production.

Simply put: if there's a relational database or it's more than just a handful of endpoints, Django REST Framework is the way to go.

FastAPI is like Flask in that it shines where you want it to do very little for you. If you want it to do a lot for "free", the Django-verse is and will continue to be better.

Last of all, I'll add that we refactored away from FastAPI to just use Starlette under the hood, because FastAPI pretty much assumes you want a REST API, and when don't want a REST API, you begin fighting with it.

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Needs advice
on
FlaskFlask
and
Django REST frameworkDjango REST framework

Hey! So I am planning to make an e-commerce website with React Native as my frontend technology stack and MongoDB as my database. I was wondering what will be the best REST framework to use for my backend that will simply serve the frontend. Is Django rest framework a good option or should I go with Flask? I am currently leaning towards flask as the development team is well versed in it. Please help!

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Replies (2)
Preeti Yuankrathok
Software Consultant at CODIUM · | 2 upvotes · 22.9K views

If the application is simple such as less endpoint or simple logic, I'd suggest Flask. But what you're building is quite a large system that contains many logics and a lot of models. So I'd suggest you with Django and Django REST framework. Django ORM is also one of the best ORM in the world as well.

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Mayur Borse
Software Engineer at hyphenOs · | 2 upvotes · 27K views
Recommends
fastapifastapiFastAPIFastAPI

FastAPI is modern microframework. If you haven't used any of them, I'd suggest FastAPI. Django REST is also good if you have previous experience with it.

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haydenlingle

I'm going to do an independent study with React for school, and I'm looking to build a full-stack application. I have lots of experience with react, but everything else I'd need is somewhat foreign to me. What I'm looking for is to provide a back-end for a React application.

I'm trying to find a back-end framework that can provide and integrate with almost everything I need (database, API, authentication). I will also need to be able to host everything eventually online rather than just locally on my computer. I don't want to use something that is just click-and-go: I want to learn a lot but find something that has much built in functionality, so I don't have to completely re-invent the wheel.

Does anyone else have experience with a stack you'd recommend that is a happy medium of helpful features while still requiring you to understand and implement the functionality yourself? Something well documented (e.g., it's easy to find documentation regarding putting all the pieces together) would be great.

Thanks in advance!

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Replies (7)
Marcelo Escobar
Recommends
RailsRails

Greate documentation, lot's of info on StackOverflow and it's easy to learn, a lot of things it's already implemented on the stack. It's based on Ruby which is stable and constantly evolving.

Ruby/Rails have a lot of gems(libraries) that will allow you to connect to many DB systems, implement JWT or use a library for authentication.

I have a lot of API's created in Rails that respond to website and mobile apps, and you can create your first one without a lot of stress, responding with JSON easily.

You can use VSCode has good support for ruby and you will have all syntax help etc, I use Atom but I don't have the syntax support, didn't found a good package for that.

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Recommends
Node.jsNode.js

The most popular stack that comes to mind for your case if MERN ( Mongo, Express, React and Node) I would use Nodejs + Express for backend. Easy to build dynamic and powerful REST APIs. For DB, it would be Mongo DB and front end can be React + Redux (for global state management). Plus NPM has a ton of packages for most cases. PS : Webstorm (free for students) or VS Code ( free for all) for IDE

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Alberto Mazaira
Recommends
RailsRailsNode.jsNode.js

I would take either Rails or Node for your problem.

Rails is a great framework: super complete in regards of testing frameworks, authentication libraries, great community support.... but I would say that the latest versions are a bit of a mess for newcomers, because of the way they manage assets: if the assets are served by the framework(Assets Pipeline) vs using Webpack .

If you are already familiar with React, Node is another great framework that will require a bit more effort on selecting the dependencies but for your use case seems a great candidate.

In regards of what you are commenting about learning during the process, both can be Dockerized pretty easy and you can spend some time digging on the lifecycle of putting it into production. Rails has a ridiculous easy way of deploying with Heroku avoiding any kind of work, but if you want to get your hands dirty you can deploy either of the frameworks on a Dockerized environment to any cloud provider you like. That part is really interesting too, and if you are interested on the Devops side, I would say that Node is a bit easier and more convenient(smaller image sizes and times to build) than Rails. All in all:

Rails pros: stable framework, great community support, great testing utilities. Rails cons: How they manage the assets lately(Assets Pipeline vs Webpack), dockerize the app.

Node pros: You are already familiar with Js, simple, easy to put in prod allowing to spend time in the Devops side. Node cons: Dependency management in Js environments is a pain in the ass

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Julien DeFrance
Principal Software Engineer at Tophatter · | 4 upvotes · 15.1K views
Recommends
RailsRails

Rails is an easy framework to pick up, and you'll get to love all of the magic it does for you. Some of that can be a little confusing at first but once you've got acquainted, this is part of the productivity Rails offers as opposed to other languages or frameworks that sometimes tend to require developers to waste a ton of valuable time setting up their own boilerplate when starting to work on a new project. More pragmatically, Rails is still extremely popular at both startups and at large companies, you can use it to power web applications, or backend APIs, and this will be extremely valuable on your resume. There also is a very large/rich set of libraries (called gems) that will allow you to focus on your actual project/product, rather than rebuilding what already exists. I'd recommend you go with the latest versions of Ruby (3.0) and Rails (6.1.1) so you are from the get-go learning them in their most current form.

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Node.js is great if you already know Javascript. If not, JS is pretty easy to learn. There are many resources and tutorials online for JS and Node. ASP.NET (Core) is a good option if you know C# or need high performance. Node.js isn't a complete framework like .NET, so you need to add Express or another HTTP server, and Database connectors etc.

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Rogério R. Alcântara
Recommends

Although not entirely confident, as I've never used Django and I've not used ASP.NET since 2.0, but given your requirements, at first thought, I'd go with Rails.

Yet, may I ask if have you considered some BAAS such as Firebase, Hasura and the like? Although I've admittedly suffered a bit with Firebase - I'm not totally sure if I've used it correctly, tho. But I've heard really awesome things about Hasura. This slant compairson shows some Firebase's alternatives that I've never heard. In your position, I would have a look.

Cheers.

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kristan-dev
Senior Solutions Analyst · | 8 upvotes · 155.7K 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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Replies (1)
Rafael Torres
Technical Lead at 4Agile · | 9 upvotes · 146.5K 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 · 119.2K views
Needs advice
on
NamekoNamekoFlaskFlask
and
BottleBottle

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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Replies (1)
Recommends
BottleBottle

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 · | 5 upvotes · 118.8K 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)
Recommends
FlaskFlask
at

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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Decisions about Django REST framework and Flask
Christian Stefanescu
Head of IT at lawpilots · | 5 upvotes · 33K views

A big part of our needs fits perfectly into what Django has to offer: an ORM with support for PostgreSQL , the amazing auto-generated admin interface, consolidated tooling around the application lifecycle and a well-established community with solutions to the majority of common problems.

We use Django whenever we need the auto-generated admin and the friendly templating language to build capable web applications which are relatively easy to maintain for a comparably long time. The excellent integrations for Celery and Django REST framework make it easy to build the necessary integrations with other services.

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We decided to expose our small machine learning (ML) pipeline as a REST API. This allows us to nicely separate concerns from the rest of the codebase. There are two very popular choices in Python for building APIs: Flask and FastAPI. We have experience with both, but find that FastAPIs use of static type hints and validation with Pydantic allow us to build better APIs faster.

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Shiqi Lin
Software Developer at BigClarity · | 3 upvotes · 82.7K views

We will use Django to set up our backend and Django REST Framework (DRF) for our API creation. The easiness of performing development tasks (eg. user authentication, URL routing, and schema migration) attracts our attention. Also, Django with PostgreSQL provides many benefits: 1. Some data types in Django will only work with PostgreSQL; 2. Django offers django.contrib.postgres to operate on PostgreSQL; 3. Django supports many features of PostgreSQL. Moreover, Django is compatible with Redis.

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Pros of Django REST framework
Pros of Flask
  • 64
    Browsable api
  • 64
    Easy to use
  • 53
    Great documentation
  • 49
    Customizable
  • 41
    Fast development
  • 9
    Easy to use, customizable, pluggable, serializer
  • 8
    Python
  • 5
    Django ORM
  • 4
    FastSerialize
  • 2
    Less code
  • 2
    Easy implementation
  • 0
    Dsasda
  • 313
    Lightweight
  • 269
    Python
  • 214
    Minimal
  • 145
    Open source
  • 98
    Documentation
  • 66
    Easy to use
  • 54
    Easy to setup and get it going
  • 53
    Well designed
  • 48
    Easy to develop and maintain applications
  • 45
    Easy to get started
  • 18
    Beautiful code
  • 16
    Rapid development
  • 14
    Powerful
  • 13
    Expressive
  • 12
    Awesome
  • 11
    Love it
  • 11
    Flexibilty
  • 11
    Speed
  • 10
    Get started quickly
  • 10
    Simple to use
  • 10
    Easy to integrate
  • 9
    Perfect for small to large projects with superb docs.
  • 9
    For it flexibility
  • 9
    Customizable
  • 8
    Productive
  • 8
    Flexibilty and easy to use
  • 7
    Flask
  • 6
    Not JS
  • 6
    User friendly
  • 5
    Secured
  • 4
    Unopinionated
  • 1
    Secure
  • 1
    Orm

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Cons of Django REST framework
Cons of Flask
  • 2
    Bad documentation
  • 2
    Reimplements Django functionality
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling
  • 10
    Not JS
  • 7
    Context
  • 4
    Not fast
  • 1
    Don't has many module as in spring

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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 companies use Flask?
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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.
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