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  5. JetBrains MPS vs Racket

JetBrains MPS vs Racket

OverviewComparisonAlternatives

Overview

JetBrains MPS
JetBrains MPS
Stacks7
Followers15
Votes4
GitHub Stars1.6K
Forks307
Racket
Racket
Stacks93
Followers83
Votes54

JetBrains MPS vs Racket: What are the differences?

Introduction: In the realm of programming languages and tools, JetBrains MPS and Racket exhibit key differences that set them apart from each other. Understanding these differences can help developers make informed decisions about which tool to use for their specific needs.

  1. Language Paradigms: JetBrains MPS is specifically designed for creating domain-specific languages (DSLs) and is based on the projectional editing approach, whereas Racket is a general-purpose programming language that supports multiple paradigms like functional, imperative, and logic programming.

  2. Metaprogramming Capabilities: Racket provides extensive support for metaprogramming through its macro system, allowing developers to define new language constructs, while JetBrains MPS offers language workbenches for creating custom languages and making changes to existing ones.

  3. Community and Ecosystem: Racket has a vibrant and active community with a rich collection of libraries and packages, enabling developers to leverage existing resources and share their own creations. In contrast, JetBrains MPS has a smaller but dedicated community focused on language engineering and domain-specific languages.

  4. Tooling and IDE Integration: JetBrains MPS provides a sophisticated integrated development environment (IDE) with features tailored for language workbenches, offering powerful tools for language designers. Racket, on the other hand, has a more lightweight IDE but supports various editors like Emacs and Vim.

  5. Performance and Compilation: Racket comes with a just-in-time (JIT) compiler that can optimize code at runtime for better performance, while JetBrains MPS relies on its projectional editing engine, which may have different trade-offs in terms of execution speed.

  6. Learning Curve: Racket, being a general-purpose language, may have a gentler learning curve for developers familiar with traditional programming paradigms, whereas JetBrains MPS, with its focus on DSLs and language engineering, may require more upfront investment in learning the tool's unique concepts.

In Summary, discerning the differences between JetBrains MPS and Racket in paradigms, metaprogramming capabilities, community support, tooling, performance, and learning curve can aid developers in choosing the right tool for their specific programming needs.

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Detailed Comparison

JetBrains MPS
JetBrains MPS
Racket
Racket

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.

It is a general-purpose, multi-paradigm programming language based on the Scheme dialect of Lisp. It is designed to be a platform for programming language design and implementation. It is also used for scripting, computer science education, and research.

Domain-specific Language; Projectional Editor; Editor Support
Multi-paradigm; Object-oriented;Cross-platform;Powerful macros & languages;DrRacket IDE & tons of documentation
Statistics
GitHub Stars
1.6K
GitHub Stars
-
GitHub Forks
307
GitHub Forks
-
Stacks
7
Stacks
93
Followers
15
Followers
83
Votes
4
Votes
54
Pros & Cons
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
    Steep entry curve (compiler writing skills)
  • 1
    The base version provides only Java and plain text out
  • 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
Pros
  • 4
    Meta-programming
  • 3
    Hygienic macros
  • 2
    Cross platform GUI
  • 2
    Macro Stepper
  • 2
    Built-in concurrency
Cons
  • 2
    No GitHub
  • 2
    LISP BASED
Integrations
No integrations available
Windows
Windows
Oracle
Oracle
MySQL
MySQL
Cassandra
Cassandra
PostgreSQL
PostgreSQL
Linux
Linux
IBM DB2
IBM DB2
SQLite
SQLite
macOS
macOS
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to JetBrains MPS, Racket?

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.

PHP

PHP

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

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.

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.

HTML5

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#

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.

Meteor

Meteor

A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.

Scala

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.

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