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  1. Stackups
  2. Application & Data
  3. Languages
  4. Languages
  5. Crystal vs R Language

Crystal vs R Language

OverviewComparisonAlternatives

Overview

R Language
R Language
Stacks3.9K
Followers1.9K
Votes418
Crystal
Crystal
Stacks341
Followers350
Votes286
GitHub Stars20.0K
Forks1.7K

R Language vs Crystal: 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 Crystal? Fast as C, slick as Ruby. Crystal is a programming language that resembles Ruby but compiles to native code and tries to be much more efficient, at the cost of disallowing certain dynamic aspects of Ruby.

R Language and Crystal can be primarily classified as "Languages" tools.

"Data analysis " is the top reason why over 65 developers like R Language, while over 30 developers mention "Compiles to efficient native code" as the leading cause for choosing Crystal.

Crystal is an open source tool with 14.4K GitHub stars and 1.11K GitHub forks. Here's a link to Crystal's open source repository on GitHub.

Instacart, Key Location, and inFeedo are some of the popular companies that use R Language, whereas Crystal is used by Bitupper, Atnos, and Diploid. R Language has a broader approval, being mentioned in 357 company stacks & 804 developers stacks; compared to Crystal, which is listed in 21 company stacks and 135 developer stacks.

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Detailed Comparison

R Language
R Language
Crystal
Crystal

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.

Crystal is a programming language that resembles Ruby but compiles to native code and tries to be much more efficient, at the cost of disallowing certain dynamic aspects of Ruby.

-
Ruby-inspired syntax.;Statically type-checked but without having to specify the type of variables or method arguments.;Be able to call C code by writing bindings to it in Crystal.;Have compile-time evaluation and generation of code, to avoid boilerplate code.;Compile to efficient native code.
Statistics
GitHub Stars
-
GitHub Stars
20.0K
GitHub Forks
-
GitHub Forks
1.7K
Stacks
3.9K
Stacks
341
Followers
1.9K
Followers
350
Votes
418
Votes
286
Pros & Cons
Pros
  • 86
    Data analysis
  • 64
    Graphics and data visualization
  • 55
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
Cons
  • 6
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 3
    Arrays indices start with 1
  • 2
    No push command for vectors/lists
  • 2
    Messy syntax for string concatenation
Pros
  • 38
    Compiles to efficient native code
  • 36
    Ruby inspired syntax
  • 32
    Performance oriented - C-like speeds
  • 23
    Gem-like packages, called Shards
  • 20
    Can call C code using Crystal bindings
Cons
  • 13
    Small community
  • 3
    No windows support
  • 1
    No Oracle lib

What are some alternatives to R Language, Crystal?

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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