Overview

Sass

Stacks43.4K

Followers32.2K

Votes3.0K

GitHub Stars15.3K

Forks2.2K

R Language

Stacks3.2K

Followers1.9K

Votes418

R vs Sass: What are the differences?

Introduction

In this comparison, we will highlight the key differences between R and Sass.

Syntax: R uses a syntax that is more similar to traditional programming languages like C, whereas Sass uses a syntax that is more akin to CSS with additional features like variables and nesting.
Primary Use: R is primarily used for statistical computing and graphics, while Sass is a style sheet language initially designed to simplify and streamline the creation of cascading style sheets (CSS).
Data Processing: R is particularly strong in data processing, analysis, and visualization with its vast array of libraries and tools, while Sass excels in providing more maintainable and organized stylesheets for web development.
Variables Handling: In R, variables are assigned with "<-" or "=" symbols, while in Sass, variables are created using the "$" symbol followed by the variable name.
Control Structures: R offers a wide range of control structures such as if-else statements, loops, and function calls, whereas Sass focuses more on mixins, functions, and loops to help generate CSS styles efficiently.

In Summary, R and Sass differ in syntax, primary use, data processing capabilities, variable handling, and control structures.

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Advice on Sass, R Language

Anonymous

CEO at ME!

Jun 17, 2020

Needs adviceon

Sass

Stylus

PostCSS

Originally, I was going to start using @{Sass}|tool:1171| with Parcel, but then I learned about @{Stylus}|tool:1172|, which looked interesting because it can get the property values of something directly instead of through variables, and @{PostCSS}|tool:3339|, which looked interesting because you can customize your Pre/Post-processing. Which tool would you recommend?

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Comments

Detailed Comparison

Sass	R Language
Sass is an extension of CSS3, adding nested rules, variables, mixins, selector inheritance, and more. It's translated to well-formatted, standard CSS using the command line tool or a web-framework plugin.	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.
Statistics
GitHub Stars 15.3K	GitHub Stars -
GitHub Forks 2.2K	GitHub Forks -
Stacks 43.4K	Stacks 3.2K
Followers 32.2K	Followers 1.9K
Votes 3.0K	Votes 418
Pros & Cons
Pros 613 Variables 594 Mixins 466 Nested rules 410 Maintainable 300 Functions Cons 6 Needs to be compiled	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

What are some alternatives to Sass, R Language?

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 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

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

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 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

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 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# (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 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 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.