Renjin will allow R scripts to transparently interact with data wherever it’s stored, whether that’s on disk, in a remote database, or in the cloud.
Renjin offers performance improvements in executing R code using techniques such as deferred computation, implicit paralellism, and just-in-time compilation.
Renjin enables R developers to deploy their code to Platform-as-a-Service providers like Google Appengine, Amazon Beanstalk or Heroku.
Built on the JVM, Renjin allows R code to interact directly with JVM libraries and data structures, without the need for expensive data transfer or brittle inter-process communication.
More productive development
With Renjin, analysts can move directly from prototype to production. There is no need to port R code to C++ or Java for production use.
Renjin on Spark
There is a growing interest in combining Spark with Renjin, because Renjin and Spark are both Java-based tools. Here we highlight some these projects.
Presenting Renjin's JIT Loop Compiler at RIOT 2016 [video]
Watch a recording of Alex's presentation on Renjin's Just-in-Time Loop Compiler.
Recording of the Introduction to Renjin webinar [video]
Watch a video recording of the Introduction to Renjin webinar which took place on March 3rd.
CRAN packages are automatically built and tested against Renjin. Many of them can be loaded directly into Renjin without the need to install them first.
Renjin is a project initiated by BeDataDriven, a company providing consulting in analytics and decision support systems. We also provide commercial support for Renjin.