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  5. ASP.NET vs DTL

ASP.NET vs DTL

OverviewComparisonAlternatives

Overview

ASP.NET
ASP.NET
Stacks31.3K
Followers11.8K
Votes40
DTL
DTL
Stacks2
Followers5
Votes0

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Detailed Comparison

ASP.NET
ASP.NET
DTL
DTL

.NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications.

It is a language for extracting, manipulating, and transforming data. It works anywhere you can use Javascript, on the server, in your node.js code, or even in the browser. It also includes CLI tools for transforming data in bulk and for exploring the syntax.

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Remap data from one format to another; Easily define translations between API data formats and your database formats; Do complex calculations producing new data from input data; Separate your data processing rules from your application code; Create data validation rules that work both in browser and on server; Easily extract specific information from deeply nested data structures; Create new data from input data, including the ability to combine fields and calculate new data items; Easily validate input data for APIs and form processing; Easily verify any type of data; Reduce code changes needed to cope with data structure changes; Define validation rules in one place, and dynamically transfer / include them into your frontend code, simplifying frontend validation code
Statistics
Stacks
31.3K
Stacks
2
Followers
11.8K
Followers
5
Votes
40
Votes
0
Pros & Cons
Pros
  • 21
    Great mvc
  • 13
    Easy to learn
  • 6
    C#
Cons
  • 2
    Entity framework is very slow
  • 1
    Not highly flexible for advance Developers
  • 1
    C#
No community feedback yet
Integrations
No integrations available
MongoDB
MongoDB
JSON
JSON
JavaScript
JavaScript
YAML
YAML
Node.js
Node.js

What are some alternatives to ASP.NET, DTL?

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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