graphene-django VS foundation

Graphene-Django Graphene-Django is a powerful library that integrates the GraphQL query language with Django, allowing for the development of flexible and efficient APIs. It seamlessly combines the expressive power of GraphQL with the simplicity and elegance of Django, enabling us to design APIs that fetch only the data the clients need.

Install Graphene and Graphene-Django. Graphene is a tool that makes working with GraphQL in Python easy, while Graphene-Django adds some additional abstractions to make adding GraphQL functionality to your Django project a breeze. To install Graphene and Graphene-Django, run the following on your command line/terminal, pip install graphene graphene-django.

But if you must take a look graphene for graphql. https://docs.graphene-python.org/projects/django/en/latest/

You will find a lot of videos about Django on YouTube. If you need a REST API try DRF. If you want GraphQL try Graphene Django. For WebSockets there is Channels. If you don't want to bother with having an API for your frontend but you still want that SPA feeling try HTMX.

I've used Graphene + Graphene Django to write GraphQL APIs for several years now, but graphene-django unfortunately seems to (mostly) be abandoned now.

In conclusion, the Graphene-Django library makes it easy to get started with GraphQL integration by allowing you to use your existing Django models as the data source for your GraphQL API and automatically generate the schema. For more information, check out the documentation.

Django ninja strawberry Graphene

in my last project I used graphene to build a Django backend application with GraphQL. It seemed like the best framework to adopt graphql in python at that time in terms of stability and maturity.

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.