R vs. F# vs. Hack



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GitHub Stats

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Description

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.

What is F#?

F# is a mature, open source, cross-platform, functional-first programming language. It empowers users and organizations to tackle complex computing problems with simple, maintainable and robust code.

What is Hack?

Hack provides instantaneous type checking via a local server that watches the filesystem. It typically runs in less than 200 milliseconds, making it easy to integrate into your development workflow without introducing a noticeable delay.

Want advice about which of these to choose?Ask the StackShare community!

Pros

Why do developers choose R?
Why do you like R?

Why do developers choose F#?
Why do you like F#?

Why do developers choose Hack?
Why do you like Hack?

Cons

What are the cons of using R?
Downsides of R?

What are the cons of using F#?
No Cons submitted yet for F#
Downsides of F#?

What are the cons of using Hack?
No Cons submitted yet for Hack
Downsides of Hack?

Companies

What companies use R?
158 companies on StackShare use R
What companies use F#?
23 companies on StackShare use F#
What companies use Hack?
5 companies on StackShare use Hack

Integrations

What tools integrate with R?
2 tools on StackShare integrate with R
What tools integrate with F#?
3 tools on StackShare integrate with F#
What tools integrate with Hack?
2 tools on StackShare integrate with Hack

What are some alternatives to R, F#, and Hack?

  • JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
  • PHP - A popular general-purpose scripting language that is especially suited to web development
  • HTML5 - 5th major revision of the core language of the World Wide Web
  • Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

See all alternatives to R



Interest Over Time