StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Microframeworks
  4. Microframeworks
  5. Django REST framework vs Graphene

Django REST framework vs Graphene

OverviewDecisionsComparisonAlternatives

Overview

Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312
Graphene
Graphene
Stacks96
Followers142
Votes1
GitHub Stars8.2K
Forks819

Django REST framework vs Graphene: What are the differences?

Introduction

Django REST framework and Graphene are both popular tools used in building APIs in Python. While they serve a similar purpose, there are key differences between the two frameworks. In this article, we will explore and compare six major differences between Django REST framework and Graphene.

  1. Architecture: Django REST framework follows a traditional and proven MVC (Model-View-Controller) architecture, where the data models, views, and controllers are well defined. On the other hand, Graphene follows a GraphQL-based architecture, which allows clients to request only the data they need, resulting in more efficient and flexible API calls.

  2. Query Language: Django REST framework uses SQL-like queries to interact with the database and retrieve data. It provides a set of powerful ORM (Object-Relational Mapping) tools to simplify database operations. In contrast, Graphene utilizes GraphQL, which has its own query language focused on describing data requirements precisely.

  3. Schema Definition: In Django REST framework, the schema is defined implicitly based on the serializers and views. Serializers define the representation of data, and views handle the request-response flow. In Graphene, the schema is explicitly defined using a dedicated syntax. It allows developers to define types, fields, and resolvers, providing a more explicit and customizable approach to defining API schemas.

  4. API Flexibility: Django REST framework offers a comprehensive set of pre-built features for building APIs like authentication, pagination, serialization, etc. These features are readily available and can be easily integrated into an API. On the other hand, Graphene comes with a minimalistic approach and provides a lightweight framework for creating GraphQL APIs. While it doesn't provide all the pre-built features, it offers more flexibility to choose and integrate specific features as needed.

  5. Request and Response: Django REST framework primarily follows a request-response model, where a client sends a request to the server, and the server responds with the requested data. Graphene, being GraphQL-based, provides a more flexible request-response system. Clients can make multiple related queries in a single request, reducing the overhead of multiple requests.

  6. Community and Support: Django REST framework has been around for quite a long time and has a large and active community. It is widely adopted and has extensive documentation and community support. Graphene, being a relative newcomer focused on GraphQL, has a smaller community, but it is growing rapidly. Though the community support may not be as extensive as Django REST framework, it is evolving quickly and gaining popularity.

In summary, Django REST framework follows a traditional MVC architecture and leverages SQL-like queries, while Graphene adopts a GraphQL-based architecture and query language. Django REST framework offers more built-in features and provides a comprehensive framework for building APIs. On the other hand, Graphene provides more flexibility and efficiency with its GraphQL-based approach. Both frameworks have their strengths and are suitable for different use cases based on specific project requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Django REST framework, Graphene

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

Django REST framework
Django REST framework
Graphene
Graphene

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

Graphene is a Python library for building GraphQL schemas/types fast and easily.

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.
Easy to use: Graphene helps you use GraphQL in Python without effort.;Relay: Graphene has builtin support for Relay;Django: Automatic Django model mapping to Graphene Types. Check a fully working Django implementation
Statistics
GitHub Stars
-
GitHub Stars
8.2K
GitHub Forks
-
GitHub Forks
819
Stacks
1.9K
Stacks
96
Followers
2.1K
Followers
142
Votes
312
Votes
1
Pros & Cons
Pros
  • 67
    Easy to use
  • 65
    Browsable api
  • 53
    Great documentation
  • 51
    Customizable
  • 42
    Fast development
Cons
  • 2
    Reimplements Django functionality
  • 2
    Bad documentation
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling
Pros
  • 0
    Will replace RESTful interfaces
  • 0
    The future of API's
Integrations
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless
GraphQL
GraphQL
Django
Django
Python
Python
Relay Framework
Relay Framework

What are some alternatives to Django REST framework, Graphene?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase