Seamless integration between R and Java
- Embed Renjin directly in your Java project as a library
- Zero-overhead data sharing between R and Java
- Pure-Java versions of CRAN and BioConductor packages
- Multi-threaded execution
Quick start with Java
// Add Renjin as a dependency to pom.xml or build.gradle
RenjinScriptEngine engine = new RenjinScriptEngine();
// Evaluate R inline
engine.eval("df <- data.frame(x = 1:10, y = rnorm(n = 10))");
engine.eval("print(lm(y ~ x, df))");
// Use CRAN and BioConductor packages
engine.eval("ggplot2::qplot(x, y, data = df)")
// Evaluate external R script
engine.eval(new java.io.FileReader("script.R"));
Deploy R code faster and hassle-free
Learn how OpsFactor uses Renjin to deploy their supply-chain optimization system to Amazon Beanstalk, combining an R-language model built on the forecast package with a Java web application.
Read the case study ⟶Extend your Java application with the power of R
Business intelligence vendor icCube relies on Renjin empower their customers with the rich capabilities of the R language for statistical analysis.
Renjin is licensed under the GPL v2, but can be used to build plugins for commercial software applications.
Read the case study ⟶Bring the Power of R
to Java