reticulate: R Interface to Python

R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.

Version: 1.1
Depends: R (≥ 3.0)
Imports: utils, graphics, jsonlite, Rcpp (≥ 0.12.7)
LinkingTo: Rcpp
Suggests: testthat, knitr
Published: 2017-08-26
Author: JJ Allaire [aut, cre], Kevin Ushey [ctb], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library,
Maintainer: JJ Allaire <jj at>
License: Apache License 2.0
NeedsCompilation: yes
SystemRequirements: Python (>= 2.7.0)
Citation: reticulate citation info
Materials: NEWS
In views: NumericalMathematics
CRAN checks: reticulate results


Reference manual: reticulate.pdf
Vignettes: Arrays in R and Python
R interface to Python
Using reticulate in an R Package
Python Version Configuration
Package source: reticulate_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: reticulate_1.1.tgz
OS X Mavericks binaries: r-oldrel: reticulate_1.1.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse imports: docker, fuzzywuzzyR, GeoMongo, greta, keras, kerasR, meltt, RQGIS, spacyr, tensorflow
Reverse suggests: cleanNLP, RcppArmadillo


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