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  5. Django REST framework vs Fastify

Django REST framework vs Fastify

OverviewDecisionsComparisonAlternatives

Overview

Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312
Fastify
Fastify
Stacks504
Followers523
Votes95
GitHub Stars34.9K
Forks2.5K

Django REST framework vs Fastify: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Django REST framework and Fastify. Both frameworks are widely used for web development, but they have distinct features and functionalities that set them apart.

  1. Scalability: One major difference between Django REST framework and Fastify is the level of scalability they offer. Django REST framework is built on top of Django, which is a full-featured web framework and provides a highly scalable architecture. It supports handling a large number of concurrent requests and can scale horizontally by deploying multiple instances. On the other hand, Fastify is a lightweight framework focused on performance and efficiency. It is designed to handle high loads with low overhead, making it highly scalable as well. However, compared to Django REST framework, Fastify may have limitations in terms of providing advanced scalability features.

  2. Language and Ecosystem: Another significant difference between the two frameworks is the programming language and ecosystem they are based on. Django REST framework is written in Python, a popular and versatile programming language known for its readability and extensive support libraries. Python has a vast ecosystem with numerous third-party packages, making it easy to find solutions and integrations. Fastify, on the other hand, is built with JavaScript and runs on Node.js. JavaScript also has a large ecosystem with a wide range of libraries, but it may not be as extensive as Python's ecosystem in terms of web development.

  3. Performance: Performance is a crucial factor to consider in web development frameworks. Django REST framework utilizes Django's ORM (Object-Relational Mapping) to interact with databases, which can affect its performance. Django's ORM provides a high level of abstraction but can introduce some overhead in terms of database queries. Fastify, on the other hand, is known for its exceptional performance. It utilizes the JavaScript runtime environment of Node.js, which is highly optimized for performance. Fastify's lightweight architecture and efficient routing mechanism contribute to its faster request handling and minimal overhead.

  4. Flexibility: Django REST framework and Fastify differ in terms of flexibility and customization options. Django REST framework follows a convention-over-configuration approach, offering a set of predefined standards and structures for building APIs. While this approach can simplify development and improve productivity, it may limit flexibility for developers who prefer more freedom in choosing their own design patterns and configurations. Fastify, on the other hand, provides a more flexible and less opinionated architecture. It allows developers to customize and extend the framework according to their specific requirements, giving them more control over the final API design.

  5. Documentation and Community Support: Documentation and community support are vital for developers using any framework. Django REST framework has comprehensive documentation, covering almost every aspect of the framework, including tutorials, guides, and examples. It also has a large and active community of developers, making it easier to find answers and get support. Fastify, being a relatively newer framework, may have less extensive documentation and a smaller community. However, it still has a growing community that actively contributes to its development and provides support.

  6. Django Integration: One key advantage of using Django REST framework is its seamless integration with the Django ecosystem. Django is a mature framework with a wide range of features and functionalities for web development. Django REST framework builds on top of Django, allowing developers to leverage its ORM, authentication system, and other built-in components effortlessly. Fastify, on the other hand, is more focused on being a standalone framework and does not have direct integrations with other frameworks or libraries like Django.

In summary, Django REST framework excels in scalability, Django integration, and extensive Python ecosystem support, while Fastify shines in performance, flexibility, and JavaScript-based development. Developers should consider their specific requirements and priorities to choose the framework that best suits their project.

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Advice on Django REST framework, Fastify

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
Fastify
Fastify

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

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

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.
100% asynchronous: all the core is implemented with asynchronous code, in this way not even a millisecond is wasted.;Highly performant: as far as we know, Fastify is one of the fastest web frameworks in town, depending on the code complexity we can serve up to 20000 request per second.;Extendible: Fastify is fully extensible via its hooks, plugins and decorators.;Schema based: even if it is not mandatory we recommend to use JSON Schema to validate your routes and serialize your outputs, internally Fastify compiles the schema in an highly performant function.;Logging: logs are extremely important but are costly; we chose the best logger to almost remove this cost, Pino!;Developer friendly: the framework is built to be very expressive and help the developer in his daily use, without sacrificing performance and security.
Statistics
GitHub Stars
-
GitHub Stars
34.9K
GitHub Forks
-
GitHub Forks
2.5K
Stacks
1.9K
Stacks
504
Followers
2.1K
Followers
523
Votes
312
Votes
95
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
  • 21
    Performance
  • 13
    Easy to use
  • 12
    Lightweight
  • 9
    Open source
  • 9
    Middleware
Cons
  • 1
    Small community
Integrations
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless
Node.js
Node.js

What are some alternatives to Django REST framework, Fastify?

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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