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CoffeeScript
CoffeeScript

2K
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1K
R
R

1.1K
706
+ 1
303
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CoffeeScript vs R: What are the differences?

CoffeeScript: Unfancy JavaScript. CoffeeScript is a little language that compiles into JavaScript. Underneath that awkward Java-esque patina, JavaScript has always had a gorgeous heart. CoffeeScript is an attempt to expose the good parts of JavaScript in a simple way; 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.

CoffeeScript and R can be primarily classified as "Languages" tools.

"Easy to read" is the top reason why over 197 developers like CoffeeScript, while over 58 developers mention "Data analysis " as the leading cause for choosing R.

CoffeeScript is an open source tool with 15.2K GitHub stars and 1.99K GitHub forks. Here's a link to CoffeeScript's open source repository on GitHub.

Code School, Zaarly, and thoughtbot are some of the popular companies that use CoffeeScript, whereas R is used by AdRoll, Instacart, and Verba. CoffeeScript has a broader approval, being mentioned in 364 company stacks & 170 developers stacks; compared to R, which is listed in 128 company stacks and 97 developer stacks.

- No public GitHub repository available -

What is CoffeeScript?

It adds syntactic sugar inspired by Ruby, Python and Haskell in an effort to enhance JavaScript's brevity and readability. Specific additional features include list comprehension and de-structuring assignment.

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.
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What are some alternatives to CoffeeScript and R?
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.
TypeScript
TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript.
ES6
Goals for ECMAScript 2015 include providing better support for large applications, library creation, and for use of ECMAScript as a compilation target for other languages. Some of its major enhancements include modules, class declarations, lexical block scoping, iterators and generators, promises for asynchronous programming, destructuring patterns, and proper tail calls.
Babel
Babel will turn your ES6+ code into ES5 friendly code, so you can start using it right now without waiting for browser support.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Decisions about CoffeeScript and R
Jake Stein
Jake Stein
CEO at Stitch · | 15 upvotes · 92.2K views
atStitchStitch
AngularJS
AngularJS
React
React
CoffeeScript
CoffeeScript
JavaScript
JavaScript
ES6
ES6

Stitch’s frontend is used to configure data sources and destinations and monitor the status of each. Although we have been using AngularJS since its early days, we recently introduced React components into our front end, which many of our developers find easier to work with. We started using CoffeeScript when it was one of the few options for a more expressive alternative to vanilla JavaScript, but today we opt to instead write new code in ES6, which we feel is a more mature alternative.

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Eli Hooten
Eli Hooten
CTO at Codecov · | 12 upvotes · 60.7K views
atCodecovCodecov
TypeScript
TypeScript
JavaScript
JavaScript
CoffeeScript
CoffeeScript
Vue.js
Vue.js
Visual Studio Code
Visual Studio Code

We chose TypeScript at Codecov when undergoing a recent rewrite of a legacy front end. Our previous front end was a mishmash of vanilla JavaScript and CoffeeScript , and was expanded upon haphazardly as the need arose. Without a unifying set of paradigms and patterns, the CoffeeScript and JavaScript setup was proving hard to maintain and expand upon by an engineering team. During a move to Vue.js , we decided to also make the move to TypeScript. Integrating TypeScript and Vue.js is fairly well understood at this point, so the setup wasn't all that difficult, and we felt that the benefits of incorporating TypeScript would outweigh the required time to set it up and get our engineering team up to speed.

Choosing to add TypeScript has given us one more layer to rely on to help enforce code quality, good standards, and best practices within our engineering organization. One of the biggest benefits for us as an engineering team has been how well our IDEs and editors (e.g., Visual Studio Code ) integrate with and understand TypeScript . This allows developers to catch many more errors at development time instead of relying on run time. The end result is safer (from a type perspective) code and a more efficient coding experience that helps to catch and remove errors with less developer effort.

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Eric Colson
Eric Colson
Chief Algorithms Officer at Stitch Fix · | 19 upvotes · 343.7K views
atStitch FixStitch Fix
Kafka
Kafka
PostgreSQL
PostgreSQL
Amazon S3
Amazon S3
Apache Spark
Apache Spark
Presto
Presto
Python
Python
R
R
PyTorch
PyTorch
Docker
Docker
Amazon EC2 Container Service
Amazon EC2 Container Service
#AWS
#Etl
#ML
#DataScience
#DataStack
#Data

The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.

Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).

At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.

For more info:

#DataScience #DataStack #Data

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Gustavo Muñoz
Gustavo Muñoz
Web UI Developer at Globant · | 2 upvotes · 5.7K views
Angular 2
Angular 2
TypeScript
TypeScript
React
React
Flow (JS)
Flow (JS)
JavaScript
JavaScript
CoffeeScript
CoffeeScript
#Angular
#ECMA

Long ago when Angular 2 evolved I had to decide between the new #Angular and TypeScript or React. I really love typing my code, but forced to use TypeScript was a bit too much. I prefer the new #ECMA standard and the evolution of the old and reliable JavaScript. So finding Flow (JS) was an incredible milestone in my career as a developer. Finally, I could use types in my code, and JavaScript with the new standard. I already had the experience of CoffeeScript, so TypeScript was not an option.

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Robert Zuber
Robert Zuber
CTO at CircleCI · | 4 upvotes · 9.7K views
atCircleCICircleCI
CoffeeScript
CoffeeScript
Hubot
Hubot
Go
Go
Slack
Slack

We have added very little to the CoffeeScript Hubot application – just enough to allow it to talk to our Hubot workers. The Hubot workers implement our operational management functionality and expose it to Hubot so we can get chat integration for free. We’ve also tailored the authentication and authorization code of Hubot to meet the needs of roles within our team.

For larger tasks, we’ve got an internal #CLI written in Go that talks to the same #API as Hubot, giving access to the same functionality we have in Slack, with the addition of scripting, piping, and all of our favorite #Unix tools. When the Hubot worker recognizes the CLI is in use, it logs the commands to Slack to maintain visibility of operational changes.

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TypeScript
TypeScript
CoffeeScript
CoffeeScript
JavaScript
JavaScript
Flow (JS)
Flow (JS)

From a StackShare community member: "We are looking to rewrite our outdated front-end with TypeScript. Right now we have a mix of CoffeeScript and vanilla JavaScript. I have read that adopting TypeScript can help enforce better code quality, and best practices. I also heard good things about Flow (JS). Which one would you recommend and why?"

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Interest over time
Reviews of CoffeeScript and R
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How developers use CoffeeScript and R
Avatar of benyomin
benyomin uses RR

What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

Avatar of Oomba
Oomba uses CoffeeScriptCoffeeScript

All of our Javascript code is first written in CoffeeScript for ease of reading / writing. It is compiled to Javascript before being minified and served to the client.

Avatar of opening.io
opening.io uses CoffeeScriptCoffeeScript

All front-end / back-end is driven by Coffeescript. For the main ReactJS functionality JSX is embedded with coffee in .cjsx files / handled by Browserify.

Avatar of Jeff Flynn
Jeff Flynn uses CoffeeScriptCoffeeScript

We like CoffeeScript because it's more readable, we use it because we have a lot of libraries and functions already (plays nicely with Rails, too)

Avatar of Ralic Lo
Ralic Lo uses RR

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

Avatar of Tino Gehlert
Tino Gehlert uses RR

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

Avatar of Chris Hartwig
Chris Hartwig uses CoffeeScriptCoffeeScript

All our code is CoffeeScript, blending seemlessly in our JS stack

Avatar of Publitory
Publitory uses CoffeeScriptCoffeeScript

Javascript is a hell. We use coffeescript for its readability.

Avatar of Sesync
Sesync uses RR

R is primarily used by SESYNC's researchers

Avatar of STILLWATER SUPERCOMPUTING INC
STILLWATER SUPERCOMPUTING INC uses RR

Offline deep analytics and modeling

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