Use a universal extensible workbench for R

Use R as a server

Use the workbench to virtualize the access to an R server

Keep a remote R session permanently alive and reconnect anytime from anywhere

Control interactively grid-enabled R from the workbench

Obtain and control an R server from a compute cloud

Import GUI plugins as new views of the workbench

Collaborate with other users all connected to the same R server

Easily generate and deploy stateful or stateless Web Services mapping R functions

Use R as a Java Toolkit

Use R as a Web Toolkit

Use R as a computational engine for Python or Groovy

Use R for parallel and distributed computing

Obtain and control R servers via a stateful Web Service mapping the R API

Create and publish new GUI plugins for the workbench

Use a framework to manage and access to remote resoucres as a pool of recyclable entities