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  5. JetBrains MPS vs Rust

JetBrains MPS vs Rust

OverviewDecisionsComparisonAlternatives

Overview

Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K
JetBrains MPS
JetBrains MPS
Stacks7
Followers15
Votes4
GitHub Stars1.6K
Forks307

JetBrains MPS vs Rust: What are the differences?

  1. Language Paradigm: JetBrains MPS is a language workbench that allows users to design their custom domain-specific languages (DSLs) while Rust is a systems programming language focused on safety, speed, and concurrency. MPS enables the creation of DSLs for specific problem domains, enhancing productivity in those areas, whereas Rust emphasizes low-level memory management and high-performance applications.

  2. Tool Purpose: JetBrains MPS is primarily used for language definition and language-oriented programming by creating languages and their corresponding IDEs, while Rust is designed for system programming to build reliable and efficient software. MPS provides a platform for creating domain-specific languages and integrating them into existing projects, whereas Rust focuses on memory safety and zero-cost abstractions for high-performance applications.

  3. Learning Curve: JetBrains MPS has a steeper learning curve due to its language workbench concept and the need to understand language design principles, whereas Rust has a learning curve associated with memory management concepts like ownership, borrowing, and lifetimes. MPS users need to grasp the concepts of language modularization and projectional editing, while Rust developers must understand the intricacies of memory safety and concurrency.

  4. Community Support: Rust has a larger and more active community compared to JetBrains MPS, offering extensive documentation, libraries, and tools for developers. The Rust community is known for its helpful forums, conferences, and resources, while the MPS community is more specialized and focused on language engineering and modeling.

  5. Runtime Environment: Rust code is compiled directly to machine code, resulting in fast and efficient performance, whereas MPS utilizes a language execution environment to interpret and execute code written in domain-specific languages. Rust's focus on system programming allows it to bypass interpreting code and directly interact with hardware, making it suitable for performance-critical applications.

  6. Industry Adoption: Rust has gained significant industry adoption in areas such as systems programming, embedded development, and web services due to its focus on safety and performance, while JetBrains MPS is more commonly used in specific domains like language engineering and modeling. Rust's reliability and speed have made it a preferred choice for organizations handling sensitive data and critical operations, setting it apart from MPS in terms of industry applications.

In Summary, JetBrains MPS and Rust differ in their language paradigms, tool purposes, learning curves, community support, runtime environments, and industry adoption, catering to distinct development needs and preferences.

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Advice on Rust, JetBrains MPS

Abdul
Abdul

Jun 22, 2020

Needs adviceonJavaScriptJavaScriptPythonPythonRustRust

So, I've been working with all 3 languages JavaScript, Python and Rust, I know that all of these languages are important in their own domain but, I haven't took any of it to the point where i could say I'm a pro at any of these languages. I learned JS and Python out of my own excitement, I learned rust for some IoT based projects. just confused which one i should invest my time in first... that does have Job and freelance potential in market as well...

I am an undergraduate in computer science. (3rd Year)

655k views655k
Comments
Roman
Roman

Machine Learning, Software Engineering and Life

Feb 23, 2020

Decided

I chose Golang as a language to write Tango because it's super easy to get started with. I also considered Rust, but learning curve of it is much higher than in Golang. I felt like I would need to spend an endless amount of time to even get the hello world app working in Rust. While easy to learn, Golang still shows good performance, multithreading out of the box and fun to implement.

I also could choose PHP and create a phar-based tool, but I was not sure that it would be a good choice as I want to scale to be able to process Gbs of access log data

394k views394k
Comments
albert
albert

May 5, 2020

Needs advice

I am currently learning Back-End design, and I am confused with the term Back-End API. My question is do I need to have a webserver? That is the Browser send a http request to the Webserver, based on the URL, the Webserver will execute the WEB API and route the request to it and send back the response received from the WEB API to the browser. If so, what are the differences from the WebServer to execute a CGI in the traditional architecture?

If this is not the case, is the WEB API a standalone server/application that can process the HTTP request and send back the response to the browser? Thank you very much for clarifying...

63.7k views63.7k
Comments

Detailed Comparison

Rust
Rust
JetBrains MPS
JetBrains MPS

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

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
107.6K
GitHub Stars
1.6K
GitHub Forks
13.9K
GitHub Forks
307
Stacks
6.1K
Stacks
7
Followers
5.0K
Followers
15
Votes
1.2K
Votes
4
Pros & Cons
Pros
  • 146
    Guaranteed memory safety
  • 133
    Fast
  • 89
    Open source
  • 75
    Minimal runtime
  • 73
    Pattern matching
Cons
  • 28
    Hard to learn
  • 24
    Ownership learning curve
  • 12
    Unfriendly, verbose syntax
  • 4
    Variable shadowing
  • 4
    No jobs
Pros
  • 1
    Inherits language grammars due to no-parser model
  • 1
    You can build your own programming language with IDE
  • 1
    An amazing tool to write DSLs
  • 1
    Translates custom language into Java or others
  • 0
    An amazing tool to write DSLs and translate them into g
Cons
  • 1
    The base version provides only Java and plain text out
  • 1
    Does not provide graphical modeling languages input
  • 1
    Requires very accurate selling to customers
  • 1
    Unpopular so has a very small geek-like community
  • 1
    Steep entry curve (compiler writing skills)

What are some alternatives to Rust, JetBrains MPS?

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.

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.

Elixir

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.

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