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  5. R vs WebAssembly

R vs WebAssembly

OverviewComparisonAlternatives

Overview

R Language
R Language
Stacks3.9K
Followers1.9K
Votes418
WebAssembly
WebAssembly
Stacks223
Followers218
Votes0
GitHub Stars8.2K
Forks818

R vs WebAssembly: What are the differences?

1. Data Types: R supports data types specific to statistical analysis such as vectors, matrices, and data frames, while WebAssembly primarily deals with low-level data types like integers and floats. 2. Execution Environment: R runs on a virtual machine that interprets scripts while WebAssembly runs directly on the machine's hardware, providing faster performance. 3. Memory Management: R handles memory management automatically through garbage collection, whereas WebAssembly requires manual memory management for better control over resources. 4. Language Support: R is a high-level language tailored for statistical computing, whereas WebAssembly is a low-level assembly-like language designed for performance across various platforms. 5. Browser Support: WebAssembly is primarily used in web browsers for running complex applications, whereas R is not inherently designed for browser-based applications. 6. Development Community: R has a large community of statistical analysts and researchers contributing to its growth, while WebAssembly has a diverse community focusing on optimizing performance across different environments.

In Summary, R and WebAssembly differ in terms of data types, execution environment, memory management, language support, browser support, and development community.

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Detailed Comparison

R Language
R Language
WebAssembly
WebAssembly

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.

It is an open standard that defines a portable binary code format for executable programs, and a corresponding textual assembly language, as well as interfaces for facilitating interactions between such programs and their host environment.

-
Efficient and fast; Safe; Open and debuggable; Part of the open web platform
Statistics
GitHub Stars
-
GitHub Stars
8.2K
GitHub Forks
-
GitHub Forks
818
Stacks
3.9K
Stacks
223
Followers
1.9K
Followers
218
Votes
418
Votes
0
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
    Messy syntax for string concatenation
  • 2
    No push command for vectors/lists
Cons
  • 2
    Security issues
Integrations
No integrations available
Rust
Rust
C++
C++
C lang
C lang

What are some alternatives to R Language, WebAssembly?

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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