Go vs RStudio

Overview

Golang

Stacks24.0K

Followers13.9K

Votes3.3K

GitHub Stars130.7K

Forks18.4K

RStudio

Stacks415

Followers455

Votes10

GitHub Stars4.9K

Forks1.1K

Go vs RStudio: What are the differences?

What is Go? An open source programming language that makes it easy to build simple, reliable, and efficient software. 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.

What is RStudio? Open source and enterprise-ready professional software for the R community. An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages..

Go and RStudio belong to "Languages" category of the tech stack.

Go and RStudio are both open source tools. It seems that Go with 61.7K GitHub stars and 8.58K forks on GitHub has more adoption than RStudio with 2.85K GitHub stars and 703 GitHub forks.

Uber Technologies, Google, and Medium are some of the popular companies that use Go, whereas RStudio is used by Apptopia, DataGlen, and Polydice. Go has a broader approval, being mentioned in 1159 company stacks & 3231 developers stacks; compared to RStudio, which is listed in 12 company stacks and 25 developer stacks.

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Advice on Golang, RStudio

Ido

Mar 6, 2020

Decided

When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.

You should be aware that Go presently (v1.13) lacks Generics.

267k views267k

Comments

Ítalo

VP Platform Engineering at Lykon

Feb 19, 2020

Decided

We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.

In the end the solution was much cleaner and maintainable.

261k views261k

Comments

Mohamed

Software Engineer at YottaHQ Inc.

Dec 2, 2019

Decided

PHP is easy to learn and you can get up and running in no time, available on almost all hosting providers and you can find developers easily. It has some great frameworks for building your backend like Symfony and Laravel. However, it can be challenging when running an enterprise and needs some adjustments, very recommended for starting a new project or startup.

208k views208k

Comments

Detailed Comparison

Golang	RStudio
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.	An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution. Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages.
-	Enhanced Security and Authentication; Administrative Tools; Metrics and Monitoring; Advanced Resource Management; Session Load Balancing; Team Productivity Enhancements; Priority Email Support.
Statistics
GitHub Stars 130.7K	GitHub Stars 4.9K
GitHub Forks 18.4K	GitHub Forks 1.1K
Stacks 24.0K	Stacks 415
Followers 13.9K	Followers 455
Votes 3.3K	Votes 10
Pros & Cons
Pros 557 High-performance 398 Simple, minimal syntax 365 Fun to write 305 Easy concurrency support via goroutines 273 Fast compilation times Cons 43 You waste time in plumbing code catching errors 25 Verbose 23 Packages and their path dependencies are braindead 16 Google's documentations aren't beginer friendly 15 Dependency management when working on multiple projects	Pros 3 Visual editor for R Markdown documents 2 In-line code execution using blocks 1 Supports Rcpp, python and SQL 1 In-line graphing support 1 Can be themed
Integrations
Revel Martini	Jenkins Docker Windows

What are some alternatives to Golang, RStudio?

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.

Sublime Text

Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses. Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.

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!

Atom

At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.

Vim

Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware.

Visual Studio Code

Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

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.