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  5. Julia vs Rust

Julia vs Rust

OverviewDecisionsComparisonAlternatives

Overview

Rust
Rust
Stacks6.1K
Followers5.0K
Votes1.2K
GitHub Stars107.6K
Forks13.9K
Julia
Julia
Stacks666
Followers677
Votes171
GitHub Stars47.9K
Forks5.7K

Julia vs Rust: What are the differences?

Key Differences between Julia and Rust

Julia and Rust are both high-level programming languages that are gaining popularity in the software development community. While they have some similarities, there are key differences that sets them apart.

  1. Performance and Safety: Julia is primarily designed for high-performance numerical computing and has a strong focus on readability and ease of use. On the other hand, Rust is focused on system programming and aims to provide both performance and memory safety. Rust's borrow checker ensures that there are no data races or memory leaks, making it a safer option compared to Julia.

  2. Concurrency and Parallelism: Julia has excellent support for parallelism and allows for easy multi-threading, making it ideal for scientific computing and data analysis tasks. Rust, on the other hand, emphasizes on concurrency and provides extensive support for building concurrent applications using features like asynchronous programming, threads, and channels.

  3. Syntax and Expressiveness: Julia has a syntax that is similar to other high-level programming languages like Python and MATLAB, making it easy to learn and use for those familiar with these languages. Rust, on the other hand, has a syntax that is more similar to low-level languages like C++. It has a steeper learning curve but provides fine-grained control over memory management and allows for low-level optimizations.

  4. Ecosystem and Libraries: Julia has a growing ecosystem of packages and libraries specifically tailored for numerical computing and data analysis tasks. It has excellent integration with existing C and Fortran libraries, allowing users to leverage the power of these libraries from within Julia. Rust, on the other hand, has a growing ecosystem with libraries that focus primarily on system programming and building high-performance applications.

  5. Garbage Collection vs. Zero-cost Abstractions: Julia uses garbage collection to manage memory, which allows for automatic memory management but can introduce some performance overhead. Rust, on the other hand, uses a combination of stack allocation and manual memory management with ownership and borrowing rules, making it possible to write highly performant code without sacrificing safety.

  6. Community and Adoption: Julia has a growing community of users and contributors, particularly in the field of scientific computing and academia. It is used by researchers, data scientists, and engineers for tasks like data analysis, machine learning, and simulation. Rust, on the other hand, has gained traction in systems programming and is being adopted by companies for building software with strong performance and memory safety guarantees.

In Summary, Julia is optimized for high-performance numerical computing with a focus on ease of use and expressiveness, while Rust is designed for systems programming, providing performance, memory safety, and low-level control.

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Advice on Rust, Julia

Timm
Timm

VP Of Engineering at Flexperto GmbH

Nov 10, 2020

Decided

We have a lot of experience in JavaScript, writing our services in NodeJS allows developers to transition to the back end without any friction, without having to learn a new language. There is also the option to write services in TypeScript, which adds an expressive type layer. The semi-shared ecosystem between front and back end is nice as well, though specifically NodeJS libraries sometimes suffer in quality, compared to other major languages.

As for why we didn't pick the other languages, most of it comes down to "personal preference" and historically grown code bases, but let's do some post-hoc deduction:

Go is a practical choice, reasonably easy to learn, but until we find performance issues with our NodeJS stack, there is simply no reason to switch. The benefits of using NodeJS so far outweigh those of picking Go. This might change in the future.

PHP is a language we're still using in big parts of our system, and are still sometimes writing new code in. Modern PHP has fixed some of its issues, and probably has the fastest development cycle time, but it suffers around modelling complex asynchronous tasks, and (on a personal note) lack of support for writing in a functional style.

We don't use Python, Elixir or Ruby, mostly because of personal preference and for historic reasons.

Rust, though I personally love and use it in my projects, would require us to specifically hire for that, as the learning curve is quite steep. Its web ecosystem is OK by now (see https://www.arewewebyet.org/), but in my opinion, it is still no where near that of the other web languages. In other words, we are not willing to pay the price for playing this innovation card.

Haskell, as with Rust, I personally adore, but is simply too esoteric for us. There are problem domains where it shines, ours is not one of them.

682k views682k
Comments
Johan
Johan

Jan 28, 2021

Decided

Context: Writing an open source CLI tool.

Go and Rust over Python: Simple distribution.

With Go and Rust, just build statically compiled binaries and hand them out.

With Python, have people install with "pip install --user" and not finding the binaries :(.

Go and Rust over Python: Startup and runtime performance

Go and Rust over Python: No need to worry about which Python interpreter version is installed on the users' machines.

Go over Rust: Simplicity; Rust's memory management comes at a development / maintenance cost.

Go over Rust: Easier cross compiles from macOS to Linux.

397k views397k
Comments
Omar
Omar

Feb 23, 2021

Needs adviceonRubyRubyJavaScriptJavaScriptRustRust

I was thinking about adding a new technology to my current stack (Ruby and JavaScript). But, I want a compiled language, mainly for speed and scalability reasons compared to interpreted languages. I have tried each one (Rust, Java, and Kotlin). I loved them, and I don't know which one can offer me more opportunities for the future (I'm in my first year of software engineering at university).

Which language should I choose?

443k views443k
Comments

Detailed Comparison

Rust
Rust
Julia
Julia

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.

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

Statistics
GitHub Stars
107.6K
GitHub Stars
47.9K
GitHub Forks
13.9K
GitHub Forks
5.7K
Stacks
6.1K
Stacks
666
Followers
5.0K
Followers
677
Votes
1.2K
Votes
171
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
    Many type operations make it difficult to follow
  • 4
    No jobs
Pros
  • 25
    Fast Performance and Easy Experimentation
  • 22
    Designed for parallelism and distributed computation
  • 19
    Free and Open Source
  • 17
    Dynamic Type System
  • 17
    Calling C functions directly
Cons
  • 5
    Immature library management system
  • 4
    Slow program start
  • 3
    Poor backwards compatibility
  • 3
    JIT compiler is very slow
  • 2
    Bad tooling
Integrations
No integrations available
GitHub
GitHub
Azure Web App for Containers
Azure Web App for Containers
GitLab
GitLab
Slack
Slack
C++
C++
C lang
C lang
Stack Overflow
Stack Overflow
vscode.dev
vscode.dev
Python
Python
Jupyter
Jupyter

What are some alternatives to Rust, Julia?

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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