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  1. Stackups
  2. Application & Data
  3. Microframeworks
  4. Microframeworks
  5. Django REST framework vs Flask

Django REST framework vs Flask

OverviewDecisionsComparisonAlternatives

Overview

Flask
Flask
Stacks19.3K
Followers16.2K
Votes60
Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312

Django REST framework vs Flask: What are the differences?

Django REST framework and Flask are two popular web development frameworks for building APIs in Python. Let's discuss the key differences between them.

  1. Architecture and Complexity: Django REST framework is built on top of Django, a high-level Python web framework that includes many batteries to simplify web development. It follows a batteries-included approach, providing a lot of built-in features and functionality. On the other hand, Flask is a micro-framework, which means it provides only the basic functionality and allows developers to add additional libraries based on their requirements. This makes Flask more flexible and lightweight compared to Django REST framework.

  2. Built-in Features: Django REST framework includes a rich set of built-in features such as authentication, serialization, validation, and CRUD (Create, Read, Update, Delete) operations. It provides a powerful Object-Relational Mapping (ORM) to interact with databases and supports automatic API documentation generation. Flask, being a micro-framework, does not come with these built-in features. However, developers can add required functionality by using third-party libraries or extensions. This gives Flask more customization options but requires more manual configuration.

  3. Scalability and Performance: Due to its batteries-included approach, Django REST framework can provide faster development time as it includes many pre-built components. However, this can also make it slower and less efficient in terms of performance compared to Flask, especially in scenarios where only lightweight functionality is needed. Flask, being a micro-framework, allows for more control and optimization. It is better suited for applications that require high performance or need to be highly scalable.

  4. Learning Curve: Django REST framework follows a convention-over-configuration approach, which means it has a steep learning curve for beginners due to its complexity and comprehensive nature. It requires a good understanding of Django concepts and practices. On the other hand, Flask has a much simpler and easier-to-learn syntax and structure. It has a shallower learning curve, making it more accessible for beginners or developers who prefer a lightweight framework.

  5. Community and Ecosystem: Django REST framework has a large and active community of developers, along with extensive documentation and resources. It has been around for a longer time and has a well-established ecosystem of third-party packages and plugins. This makes it easier to find solutions, get support, and integrate with other technologies. Flask also has a strong community, although it may be relatively smaller compared to Django. It has a growing ecosystem but may have less available resources compared to Django REST framework.

  6. Application Size and Complexity: Django REST framework is well-suited for building large and complex applications that require a high level of functionality and design. It provides a structured and organized approach, which helps in managing the complexity of large projects. In contrast, Flask is more suitable for small to medium-sized applications that require simplicity and minimalism. It allows developers to start small and add functionality as needed, making it a good choice for prototyping or building lightweight applications quickly.

In summary, Django REST framework is a powerful and feature-rich framework that provides a comprehensive approach for building APIs. It is suitable for large and complex applications where development speed and built-in functionality are important. Flask, on the other hand, is a lightweight and flexible micro-framework that allows for more customization and control. It is better suited for small to medium-sized applications that require simplicity, scalability, and performance optimization.

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Advice on Flask, Django REST framework

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
Hayden
Hayden

Software Dev

Jan 12, 2021

Needs adviceonReactReact

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!

68.7k views68.7k
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

Detailed Comparison

Flask
Flask
Django REST framework
Django REST framework

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

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

-
The Web browsable API is a huge usability win for your developers.;Authentication policies including OAuth1a and OAuth2 out of the box.;Serialization that supports both ORM and non-ORM data sources.;Customizable all the way down - just use regular function-based views if you don't need the more powerful features.;Extensive documentation, and great community support.;Used and trusted by large companies such as Mozilla and Eventbrite.
Statistics
Stacks
19.3K
Stacks
1.9K
Followers
16.2K
Followers
2.1K
Votes
60
Votes
312
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
  • 67
    Easy to use
  • 65
    Browsable api
  • 53
    Great documentation
  • 51
    Customizable
  • 42
    Fast development
Cons
  • 2
    Bad documentation
  • 2
    Reimplements Django functionality
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling
Integrations
No integrations available
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless

What are some alternatives to Flask, Django REST framework?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

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.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

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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