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: 1.18
Depends: R (≥ 3.0)
Imports: graphics, jsonlite, Matrix, methods, rappdirs, Rcpp (≥ 0.12.7), utils
LinkingTo: Rcpp
Suggests: callr, knitr, rmarkdown, testthat
Published: 2020-10-25
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], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin at rstudio.com>
BugReports: https://github.com/rstudio/reticulate/issues
License: Apache License 2.0
URL: https://github.com/rstudio/reticulate
NeedsCompilation: yes
SystemRequirements: Python (>= 2.7.0)
Materials: NEWS
In views: HighPerformanceComputing, ModelDeployment, NumericalMathematics
CRAN checks: reticulate results

Downloads:

Reference manual: reticulate.pdf
Vignettes: Arrays in R and Python
Calling Python from R
Using reticulate in an R Package
python_dependencies
Installing Python Packages
R Markdown Python Engine
Python Version Configuration
Package source: reticulate_1.18.tar.gz
Windows binaries: r-devel: reticulate_1.18.zip, r-release: reticulate_1.18.zip, r-oldrel: reticulate_1.18.zip
macOS binaries: r-release: reticulate_1.18.tgz, r-oldrel: reticulate_1.18.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: BiocSklearn, Herper, mixKernel, rMIDAS
Reverse imports: aif360, altair, anndata, autokeras, azuremlsdk, basilisk, botor, caracas, chess, cleanNLP, CRISPRseek, DALEXtra, dasper, dccvalidator, deepredeff, densvis, eseis, excerptr, fastai, featuretoolsR, FSDAM, fuzzywuzzyR, gcForest, GeoMongo, greta, h2o4gpu, idr2d, ip2location, ip2proxy, keras, kerasR, kerastuneR, leiden, lilikoi, MaOEA, maotai, mboxr, meltt, mhcnuggetsr, ML2Pvae, mlflow, modeltime.gluonts, MOFA, MOFA2, msImpute, multicrispr, neptune, netReg, nmslibR, onnx, otsad, phateR, phemd, pm4py, PressPurt, pysd2r, rasciidoc, RAthena, rdataretriever, rescue, RGF, Rmagic, RNASeqR, RPyGeo, rTorch, scaffolder, Seurat, sgmcmc, shapper, singleCellTK, snifter, spacyr, sqlparseR, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfprobability, tfruns, Trading, umap, velociraptor, XRPython, youtubecaption, zellkonverter
Reverse suggests: arrow, dimRed, fastshap, findpython, govdown, IFC, knitr, LoomExperiment, periodicDNA, precommit, RcppArmadillo, RcppCNPy, reinforcelearn, renv, rhdf5client, rsconnect, sigminer, stevedore, survivalmodels, workflowr
Reverse enhances: analysisPipelines

Linking:

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