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  1. Stackups
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  5. .NET Core vs Django REST framework

.NET Core vs Django REST framework

OverviewDecisionsComparisonAlternatives

Overview

Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312
.NET Core
.NET Core
Stacks7.0K
Followers2.6K
Votes155
GitHub Stars21.7K
Forks4.9K

.NET Core vs Django REST framework: What are the differences?

Key differences between .NET Core and Django REST framework

Introduction

In this section, we will explore the key differences between .NET Core and Django REST framework.

  1. Language and Platform: .NET Core is a cross-platform framework developed by Microsoft that supports multiple languages such as C#, Visual Basic, and F#. It can run on various operating systems like Windows, macOS, and Linux. On the other hand, Django REST framework is built using Python and is primarily used for web development on the Python platform.

  2. Community and Ecosystem: .NET Core has a large and active community backed by Microsoft, providing extensive documentation, tutorials, and support. It offers a wide range of libraries and tools, making it easier to build complex applications. Django REST framework also has a strong community but is relatively smaller compared to .NET Core. It has a mature ecosystem with numerous packages and extensions available for various functionalities.

  3. Scalability and Performance: .NET Core is known for its high scalability and performance. It allows developers to build highly efficient and scalable web applications using its powerful features and optimizations. It also provides excellent support for multi-threading and asynchronous programming. Django REST framework, on the other hand, may not perform as well as .NET Core for extremely large and high-traffic applications. However, it is still suitable for most web projects and offers good performance in general.

  4. Integration and Compatibility: .NET Core integrates well with other Microsoft technologies, such as Azure cloud services, SQL Server, and Active Directory. It provides seamless integration and compatibility with existing Microsoft ecosystem tools and frameworks. Django REST framework, although not limited to Python-specific technologies, has better compatibility with Python-based libraries and tools. It integrates well with databases like PostgreSQL, SQLite, and Oracle, and also supports various authentication methods.

  5. Development Speed and Ease of Use: .NET Core offers a rich set of development tools and libraries, which can speed up the development process. It provides a robust Integrated Development Environment (IDE) like Visual Studio that offers features like code refactoring, debugging, and profiling. The Django REST framework, on the other hand, provides a fast and straightforward development experience due to Python's simplicity and ease of use. It comes with a built-in administrative interface, making it easier to manage database models and perform common CRUD operations.

  6. Learning Curve and Skillset: .NET Core requires a certain level of understanding of the .NET ecosystem and C# programming language. It may have a steeper learning curve, especially for developers who are new to Microsoft technologies. Django REST framework, on the other hand, is relatively easier to learn and get started with, especially for developers already familiar with Python web development. It has a clear and well-documented API, making it easier to grasp the concepts and build RESTful APIs.

In Summary, while .NET Core offers a cross-platform framework with robust performance, extensive libraries, and tools for building efficient web applications, Django REST framework provides a simpler and faster development experience with its Python-based ecosystem, strong compatibility with Python libraries, and ease of use. The choice between the two depends on the specific requirements, skillset, and familiarity with the respective programming languages and frameworks.

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Advice on Django REST framework, .NET Core

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
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
Anonymous
Anonymous

Dec 16, 2019

Review

There has been a lot of buzz around having PostgreSQL for ASP.NET Core 3.1 web apps. But Configuring Identity Server 4 with PostgreSQL is a real challenge. I've made a simple video to configure the ASP.NET Core 3.1 based Web application that uses AngualrJS as front end with Single Page App capabilities with Identity Server 4 talking to the PostgreSQL database. Check out this Video tutorial on how to do that in detail http://bit.ly/2EkotL5 You can access the entire code here on github http://bit.ly/35okpFj

210k views210k
Comments

Detailed Comparison

Django REST framework
Django REST framework
.NET Core
.NET Core

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

Cross-platform (supporting Windows, macOS, and Linux) and can be used to build device, cloud, and IoT applications.

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.
Cross-platform; Consistent across architectures; Command-line tools; Flexible deployment; Compatible with .NET Framework, Xamarin and Mono, via .NET Standard; Open source; Supported by Microsoft
Statistics
GitHub Stars
-
GitHub Stars
21.7K
GitHub Forks
-
GitHub Forks
4.9K
Stacks
1.9K
Stacks
7.0K
Followers
2.1K
Followers
2.6K
Votes
312
Votes
155
Pros & Cons
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
Pros
  • 30
    Perfect to do any backend ( and a fast frontend) stuff
  • 27
    Fast
  • 26
    Cross-platform
  • 25
    Great performance
  • 18
    It promotes better codebase architectures and organizat
Integrations
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless
Linux
Linux
C#
C#
Visual Studio Code
Visual Studio Code
Sublime Text
Sublime Text
.NET
.NET
Visual Studio
Visual Studio
ASP.NET
ASP.NET
Vim
Vim
Visual Basic
Visual Basic
F#
F#

What are some alternatives to Django REST framework, .NET Core?

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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