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  5. C# vs Django REST framework

C# vs Django REST framework

OverviewDecisionsComparisonAlternatives

Overview

C#
C#
Stacks70.1K
Followers46.3K
Votes2.2K
Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312

C# vs Django REST framework: What are the differences?

Key Differences between C# and Django REST Framework

1. Language Foundation: C# is a statically-typed, object-oriented programming language developed by Microsoft primarily for building Windows applications, while Django REST Framework is a Python-based framework specifically designed for creating RESTful APIs.

2. Syntax and Code Structure: C# uses a curly brace ({}) syntax and follows the class-based object-oriented programming paradigm. On the other hand, Django REST Framework uses Python's indentation-based syntax and follows a more functional programming style.

3. Framework Ecosystem: C# has a wide range of frameworks and libraries developed by Microsoft, such as .NET Framework and .NET Core, which provide extensive tools and functionality for building various types of applications. Django REST Framework, on the other hand, is a specialized framework focused on building RESTful APIs, offering features like authentication, serialization, and request handling out of the box.

4. Development Workflow: In C#, developers often use integrated development environments (IDEs) like Visual Studio, which provides a rich set of tools for code editing, debugging, and project management. Django REST Framework developers typically use IDEs like PyCharm, along with Django's command-line interface (CLI) for managing projects and running server instances.

5. Community and Support: C# benefits from Microsoft's extensive support and large developer community, offering comprehensive documentation, tutorials, and online resources. Django REST Framework, although having a smaller community compared to C#, has an active group of contributors and provides detailed documentation and community support through forums and discussion platforms.

6. Portability and Platform Independence: C# is primarily used for building Windows applications and is tightly integrated with Microsoft's ecosystem. While it is possible to run C# applications on Linux and macOS using .NET Core, the platform independence is not as seamless as in Django REST Framework, which can run on any platform that supports Python.

In summary, C# is a powerful programming language developed by Microsoft, widely used for building various types of applications, whereas Django REST Framework is a specialized Python-based framework specifically designed for creating RESTful APIs. The key differences lie in the language foundation, syntax, code structure, framework ecosystem, development workflow, community and support, and portability.

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Advice on C#, Django REST framework

Andrew
Andrew

Chief Software Architect at Xelex Digital, LLC

Jun 27, 2020

Decided

In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.

To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.

Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.

For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.

That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.

We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.

As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.

446k views446k
Comments
Erik
Erik

Chief Architect at LiveTiles

May 18, 2020

Decided

C# and .Net were obvious choices for us at LiveTiles given our investment in the Microsoft ecosystem. It enabled us to harness of the .Net framework to build ASP.Net MVC, WebAPI, and Serverless applications very easily. Coupled with the high productivity of Visual Studio, it's the native tongue of Microsoft technology.

614k views614k
Comments
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

Detailed Comparison

C#
C#
Django REST framework
Django REST framework

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

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
70.1K
Stacks
1.9K
Followers
46.3K
Followers
2.1K
Votes
2.2K
Votes
312
Pros & Cons
Pros
  • 351
    Cool syntax
  • 294
    Great lambda support
  • 267
    Great generics support
  • 212
    Language integrated query (linq)
  • 181
    Extension methods
Cons
  • 15
    Poor x-platform GUI support
  • 8
    Closed source
  • 7
    Requires DllImportAttribute for getting stuff from unma
  • 7
    Fast and secure
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
.NET
.NET
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless

What are some alternatives to C#, 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.

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

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.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Django

Django

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

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

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.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

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