Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Go
Go

6.6K
4.9K
+ 1
2.6K
R
R

1.2K
774
+ 1
319
Add tool

Go vs R: What are the differences?

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; R: 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.

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

"High-performance" is the primary reason why developers consider Go over the competitors, whereas "Data analysis " was stated as the key factor in picking R.

Go is an open source tool with 60.4K GitHub stars and 8.36K GitHub forks. Here's a link to Go's open source repository on GitHub.

Uber Technologies, Pinterest, and Square are some of the popular companies that use Go, whereas R is used by AdRoll, Instacart, and Verba. Go has a broader approval, being mentioned in 901 company stacks & 606 developers stacks; compared to R, which is listed in 128 company stacks and 97 developer stacks.

- No public GitHub repository available -

What is Go?

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 R?

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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Go?
Why do developers choose R?

Sign up to add, upvote and see more prosMake informed product decisions

Sign up to add, upvote and see more consMake informed product decisions