The project is mature, stable, documented, and widely used.
The same license as R: GPLv2 or greater.
Consider having a look at the documentation. Otherwise wuestions should preferably be asked on the rpy mailing-list on SourceForge, or on StackOverflow. Bugs, or wishes, can also go to the bitbucket page for the project.
If looking for rpy or the old website, it was moved to here.
Released source packages are available on
should be as easy as
pip install rpy2
A Docker image is also available to "kick the tires". To run the current release witha Jupyter notebook (on port 8888):
an ipython console:
docker run --rm -p 8888:8888 \ rpy2/rpy2:2.8.x
docker run -it --rm -p 8888:8888 \ rpy2/rpy2:2.8.x ipython
The source code is also in a public repository on bitbucket.
More information can be found in the documentation.
Additional resources, about rpy2 in particular or demonstrations of polyglot data analysis using rpy2 to call R from Python, are available (don't hesitate to notify us about other resource, but avoid Python vs R trolls... unless funny):
The package is used in a wide range of domains. For example: