reticulate: Interface to 'Python'

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: 1.13
Depends: R (≥ 3.0)
Imports: utils, graphics, jsonlite, Rcpp (≥ 0.12.7), Matrix
LinkingTo: Rcpp
Suggests: testthat, knitr, callr, rmarkdown
Published: 2019-07-24
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang ORCID iD [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library,
Maintainer: Kevin Ushey <kevin at>
License: Apache License 2.0
NeedsCompilation: yes
SystemRequirements: Python (>= 2.7.0)
Materials: NEWS
In views: HighPerformanceComputing, ModelDeployment, NumericalMathematics
CRAN checks: reticulate results


Reference manual: reticulate.pdf
Vignettes: Arrays in R and Python
Calling Python from R
Using reticulate in an R Package
Installing Python Packages
R Markdown Python Engine
Python Version Configuration
Package source: reticulate_1.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: reticulate_1.13.tgz, r-oldrel: reticulate_1.13.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: RQGIS
Reverse imports: altair, botor, BrailleR, DALEXtra, excerptr, featuretoolsR, FLAME, fuzzywuzzyR, gcForest, GeoMongo, greta, h2o4gpu, keras, kerasR, leiden, mboxr, meltt, mlflow, nmslibR, onnx, otsad, phateR, pm4py, pyMTurkR, pysd2r, RAthena, rdataretriever, RGF, Rmagic, RPyGeo, rTorch, sen2r, Seurat, sgmcmc, shapper, spacyr, sqlparseR, tensorflow, tfautograph, tfdatasets, tfdeploy, tfestimators, tfio, tfruns, threeBrain, umap, XRPython, youtubecaption
Reverse suggests: cleanNLP, CVXR, dimRed, findpython, govdown, knitr, RcppArmadillo, RcppCNPy, reinforcelearn, rsconnect, RxODE, stevedore
Reverse enhances: analysisPipelines


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