JetBrains MPS vs MATLAB

Overview

MATLAB

Stacks1.1K

Followers702

Votes37

JetBrains MPS

Stacks7

Followers15

Votes4

GitHub Stars1.6K

Forks307

JetBrains MPS vs MATLAB: What are the differences?

Introduction: In this analysis, we will focus on the key differences between JetBrains MPS and MATLAB, highlighting specific aspects that set them apart in the context of software development and data processing.

Programming Paradigms: JetBrains MPS is focused on language-oriented programming, allowing users to define domain-specific languages and create customized solutions for complex problems. In contrast, MATLAB is primarily utilized for numerical computing and algorithm development, providing a wide range of built-in functions for mathematical modeling and simulation tasks.
Usage Scope: While JetBrains MPS is designed for creating domain-specific languages and software solutions, MATLAB is widely used in engineering, science, and finance industries for tasks such as data analysis, visualization, and algorithm prototyping. The scope of applications for MATLAB is more specialized compared to the broader use cases of JetBrains MPS.
Customizability: JetBrains MPS offers a high level of customization through language definition and modeling, allowing developers to tailor the environment to specific project requirements. On the other hand, MATLAB provides a comprehensive set of built-in tools and functions for various numerical computing tasks, with less emphasis on extensive customization options.
Community Support: MATLAB benefits from a strong user community and extensive documentation, making it easier for beginners to learn and troubleshoot issues. In contrast, JetBrains MPS, being a more specialized tool, may have a smaller user base and limited external resources for support and learning.
Integration Capabilities: JetBrains MPS can be seamlessly integrated with other JetBrains IDEs and tools, offering a unified development experience for users familiar with the JetBrains ecosystem. In comparison, MATLAB provides integration with external software and libraries for specialized tasks, catering to its specific user base in scientific and engineering fields.
Licensing and Cost: JetBrains MPS is provided under a commercial license with various pricing options based on the usage and organization size. On the other hand, MATLAB offers both commercial licenses and free academic licenses for students and researchers, making it more accessible for educational purposes.

In Summary, the key differences between JetBrains MPS and MATLAB lie in their programming paradigms, usage scope, customizability, community support, integration capabilities, and licensing models.

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Detailed Comparison

MATLAB	JetBrains MPS
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.	It is a tool to design domain-specific languages. It uses projectional editing which allows users to overcome the limits of language parsers, and build DSL editors, such as ones with tables and diagrams. It implements language-oriented programming.
-	Domain-specific Language; Projectional Editor; Editor Support
Statistics
GitHub Stars -	GitHub Stars 1.6K
GitHub Forks -	GitHub Forks 307
Stacks 1.1K	Stacks 7
Followers 702	Followers 15
Votes 37	Votes 4
Pros & Cons
Pros 20 Simulink 5 Functions, statements, plots, directory navigation easy 5 Model based software development 3 S-Functions 2 REPL Cons 2 Parameter-value pairs syntax to pass arguments clunky 2 Doesn't allow unpacking tuples/arguments lists with * 2 Does not support named function arguments 1 Costs a lot	Pros 1 You can build your own programming language with IDE 1 Translates custom language into Java or others 1 An amazing tool to write DSLs 1 Inherits language grammars due to no-parser model 0 An amazing tool to write DSLs and translate them into g Cons 1 Unpopular so has a very small geek-like community 1 Does not provide graphical modeling languages input 1 Requires very accurate selling to customers 1 Steep entry curve (compiler writing skills) 1 The base version provides only Java and plain text out

What are some alternatives to MATLAB, JetBrains MPS?

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 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.

PHP

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

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.

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

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.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

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.

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Related Comparisons

JetBrains MPS vs MATLAB: What are the differences?

Programming Paradigms: JetBrains MPS is focused on language-oriented programming, allowing users to define domain-specific languages and create customized solutions for complex problems. In contrast, MATLAB is primarily utilized for numerical computing and algorithm development, providing a wide range of built-in functions for mathematical modeling and simulation tasks.
Usage Scope: While JetBrains MPS is designed for creating domain-specific languages and software solutions, MATLAB is widely used in engineering, science, and finance industries for tasks such as data analysis, visualization, and algorithm prototyping. The scope of applications for MATLAB is more specialized compared to the broader use cases of JetBrains MPS.
Customizability: JetBrains MPS offers a high level of customization through language definition and modeling, allowing developers to tailor the environment to specific project requirements. On the other hand, MATLAB provides a comprehensive set of built-in tools and functions for various numerical computing tasks, with less emphasis on extensive customization options.
Community Support: MATLAB benefits from a strong user community and extensive documentation, making it easier for beginners to learn and troubleshoot issues. In contrast, JetBrains MPS, being a more specialized tool, may have a smaller user base and limited external resources for support and learning.
Integration Capabilities: JetBrains MPS can be seamlessly integrated with other JetBrains IDEs and tools, offering a unified development experience for users familiar with the JetBrains ecosystem. In comparison, MATLAB provides integration with external software and libraries for specialized tasks, catering to its specific user base in scientific and engineering fields.
Licensing and Cost: JetBrains MPS is provided under a commercial license with various pricing options based on the usage and organization size. On the other hand, MATLAB offers both commercial licenses and free academic licenses for students and researchers, making it more accessible for educational purposes.

In Summary, the key differences between JetBrains MPS and MATLAB lie in their programming paradigms, usage scope, customizability, community support, integration capabilities, and licensing models.

JetBrains MPS vs MATLAB

Overview