R-Fiddle

R-Fiddle

R-Fiddle is an online R code editor that allows you to write, run and share R code from any web browser. It has built-in data sets and packages to help learn R programming.
R-Fiddle image
r statistics data-science online-editor

R-Fiddle: Online R Code Editor for Writing, Running & Sharing

R-Fiddle is an online R code editor that allows you to write, run and share R code from any web browser. It has built-in data sets and packages to help learn R programming.

What is R-Fiddle?

R-Fiddle is an online integrated development environment (IDE) for the R programming language. It allows users to write, execute, and share R code from any web browser without having to install or configure any software locally.

Some key features of R-Fiddle include:

  • In-browser R console - Write and run R code interactively
  • Pre-loaded datasets and packages - Start analyzing data instantly with no setup
  • Shareable snippets - Easily share running R code examples with others
  • GitHub integration - Connect your R-Fiddle projects to GitHub repositories
  • R Markdown support - Write and render R Markdown documents
  • Private snippets - Keep sensitive code private and hidden from other users
  • Online community - Learn from and collaborate with other R users

With its easy-to-use interface optimized for rapid R prototyping and collaboration, R-Fiddle aims to make R more accessible for beginners and convenient for experts to share code. Its database of community snippets and integrations with services like GitHub also make R-Fiddle a valuable platform for demonstrating R techniques and tools to others.

R-Fiddle Features

Features

  1. Online R code editor
  2. Write, run and share R code from any web browser
  3. Built-in data sets and packages
  4. Supports R Markdown documents
  5. Real-time collaboration
  6. Version control integration
  7. Public and private options for sharing

Pricing

  • Freemium

Pros

Easy to use interface

No need to install R locally

Great for learning R programming

Collaborate with others in real-time

Integrates with GitHub or GitLab

Cons

Limited computation resources

Not suitable for large data sets or complex analysis

Formatting options are limited for R Markdown

Only supports R, not other languages like Python


The Best R-Fiddle Alternatives

Top Development and Code Editors and other similar apps like R-Fiddle


R (programming language) icon

R (programming language)

R is an open-source programming language and free software environment for statistical computing, bioinformatics, graphics, data science, and general-purpose programming. The R language provides a wide variety of statistical analysis techniques and graphical capabilities which make it a popular choice for data analysis and visualization.Some key features of R include:Open-source...
R (programming language) image
RStudio icon

RStudio

RStudio is a popular open-source IDE for R, a programming language for statistical computing and graphics. It provides a user-friendly graphical user interface that makes working with R much easier by integrating tools for plotting, debugging, workspace management, and other features.Some key features of RStudio include:Code editor with syntax highlighting,...
RStudio image
Tinn-R icon

Tinn-R

Tinn-R is an open-source, cross-platform text editor and integrated development environment (IDE) designed specifically for the R programming language. It provides a range of useful features for R developers, including:Syntax highlighting for R codeSmart autocompletion of R functions and objectsIntegrated R console for running code directly within the editorProject management...
Tinn-R image
Revolution R icon

Revolution R

Revolution Analytics' Revolution R is a software environment and suite of tools designed to provide an enhanced user experience for the R programming language. Some key features of Revolution R include:Integrated Development Environment (IDE) - Provides an interface for authoring, debugging, and executing R code, with features like syntax highlighting,...
Revolution R image