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R Language vs Rust: What are the differences?

What is R Language? A language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

What is Rust? A safe, concurrent, practical language. 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.

R Language and Rust can be categorized as "Languages" tools.

"Data analysis " is the top reason why over 65 developers like R Language, while over 93 developers mention "Guaranteed memory safety" as the leading cause for choosing Rust.

Rust is an open source tool with 42.4K GitHub stars and 6.47K GitHub forks. Here's a link to Rust's open source repository on GitHub.

According to the StackShare community, R Language has a broader approval, being mentioned in 357 company stacks & 804 developers stacks; compared to Rust, which is listed in 159 company stacks and 861 developer stacks.

Advice on R Language and Rust
Needs advice
on
JavaScriptJavaScriptPythonPython
and
RustRust

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)

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Replies (3)
Recommends
JavaScriptJavaScript

I would start focusing on Javascript because even working with Rust and Python, you're always going to encounter some Javascript for front-ends at least. It has: - more freelancing opportunities (starting to work short after a virus/crisis, that's gonna help) - can also do back-end if needed (I would personally avoid specializing in this since there's better languages for the back-end part) - hard to avoid. it's everywhere and not going away (well not yet)

Then, later, for back-end programming languages, Rust seems like your best bet. Its pros: - it's satisfying to work with (after the learning curve) - it's got potential to grow big in the next year (also with better paying jobs) - it's super versatile (you can do high-perf system stuff, graphics, ffi, as well as your classic api server) It comes with a few cons though: - it's harder to learn (expect to put in years) - the freelancing options are virtually non-existent (and I would expect them to stay limited, as rust is better for long-term software than prototypes)

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Recommends
JavaScriptJavaScript

I suggest you to go with JavaScript. From my perspective JavaScript is the language you should invest your time in. The community of javascript and lots of framework helps developer to build what they want to build in no time whether it a desktop, web, mobile based application or even you can use javascript as a backend as well. There are lot of frameworks you can start learning i suggest you to go with (react,vue) library both are easy to learn than angular which is a complete framework.

And if you want to go with python as a secondary tool then i suggest you to learn a python framework (Flask,Django).

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Moinul Moin
Recommends
JavaScriptJavaScript

go for javascript, brother.

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Decisions about R Language and Rust
Roman Glushko
Machine Learning, Software Engineering and Life · | 3 upvotes · 189.5K views

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

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Pros of R Language
Pros of Rust
  • 81
    Data analysis
  • 61
    Graphics and data visualization
  • 52
    Free
  • 43
    Great community
  • 37
    Flexible statistical analysis toolkit
  • 26
    Access to powerful, cutting-edge analytics
  • 25
    Easy packages setup
  • 18
    Interactive
  • 12
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 5
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 2
    Machine Learning
  • 1
    Graphical visualization
  • 137
    Guaranteed memory safety
  • 125
    Fast
  • 82
    Open source
  • 75
    Minimal runtime
  • 69
    Pattern matching
  • 61
    Type inference
  • 55
    Concurrent
  • 54
    Algebraic data types
  • 45
    Efficient C bindings
  • 43
    Practical
  • 37
    Best advances in languages in 20 years
  • 29
    Safe, fast, easy + friendly community
  • 29
    Fix for C/C++
  • 23
    Stablity
  • 22
    Closures
  • 21
    Zero-cost abstractions
  • 19
    Extensive compiler checks
  • 18
    Great community
  • 15
    No NULL type
  • 14
    Async/await
  • 14
    Completely cross platform: Windows, Linux, Android
  • 13
    No Garbage Collection
  • 12
    Great documentations
  • 12
    High-performance
  • 11
    Super fast
  • 11
    High performance
  • 10
    Generics
  • 10
    Safety no runtime crashes
  • 10
    Fearless concurrency
  • 9
    Guaranteed thread data race safety
  • 9
    Compiler can generate Webassembly
  • 9
    Helpful compiler
  • 8
    Easy Deployment
  • 8
    Prevents data races
  • 8
    Macros
  • 7
    Painless dependency management
  • 7
    RLS provides great IDE support
  • 6
    Real multithreading
  • 4
    Good package management
  • 4
    Support on Other Languages

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Cons of R Language
Cons of Rust
  • 5
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 2
    Arrays indices start with 1
  • 2
    No push command for vectors/lists
  • 2
    Messy syntax for string concatenation
  • 1
    Messy character encoding
  • 0
    Poor syntax for classes
  • 0
    Messy syntax for array/vector combination
  • 25
    Hard to learn
  • 23
    Ownership learning curve
  • 10
    Unfriendly, verbose syntax
  • 4
    High size of builded executable
  • 4
    Variable shadowing
  • 4
    Many type operations make it difficult to follow
  • 3
    No jobs

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- No public GitHub repository available -

What is R Language?

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

What is Rust?

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.

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Jobs that mention R Language and Rust as a desired skillset
CBRE
Poland Mazowieckie Warsaw
CBRE
United States of America California San Francisco
CBRE
United States of America California San Francisco
CBRE
United States of America Minnesota Eden Prairie
CBRE
United States of America California San Francisco
CBRE
United States of America Minnesota Minneapolis
CBRE
United States of America Minnesota Minneapolis
CBRE
United States of America California San Francisco
What companies use R Language?
What companies use Rust?
See which teams inside your own company are using R Language or Rust.
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What tools integrate with R Language?
What tools integrate with Rust?

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What are some alternatives to R Language and Rust?
MATLAB
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.
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.
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.
SAS
It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
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.
See all alternatives