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: 1.25
Depends: R (≥ 3.0)
Imports: Matrix, Rcpp (≥ 0.12.7), RcppTOML, graphics, here, jsonlite, methods, png, rappdirs, utils, withr
LinkingTo: Rcpp
Suggests: callr, knitr, rlang, rmarkdown, testthat
Published: 2022-05-11
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], 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,
Maintainer: Tomasz Kalinowski <tomasz 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
Managing an R Package's Python Dependencies
Installing Python Packages
Primer on Python for R Users
R Markdown Python Engine
Python Version Configuration


Package source: reticulate_1.25.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): reticulate_1.25.tgz, r-oldrel (arm64): reticulate_1.25.tgz, r-release (x86_64): reticulate_1.25.tgz, r-oldrel (x86_64): reticulate_1.25.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: BiocSklearn, CallEshotgun, mixKernel, netZooR, ngboostForecast, RISCA, rMIDAS
Reverse imports: ag5Tools, aif360, altair, animl, anndata, APL, autokeras, azuremlsdk, basilisk, botor, BRACoD.R, BrailleR, caracas, causalOT, cbpManager, CelliD, chess, chromConverter, cleanNLP, clinspacy, COTAN, crisprScore, CRISPRseek, criticality, CytOpT, DALEXtra, dasper, dccvalidator, DeepPINCS, deepredeff, deepregression, densvis, DesignCTPB, DIAlignR, digitalDLSorteR, DiNAMIC.Duo, edgebundle, eseis, excerptr, fastai, feamiR, featuretoolsR, FLAMES, forImage, FSDAM, fuzzywuzzyR, GenProSeq, GeoMongo, greta, h2o4gpu, idr2d, IGP, ip2location, ip2proxy, keras, kerasR, kerastuneR, LDNN, leiden, lilikoi, MACSr, MaOEA, mboxr, meltt, MFSIS, mglasso, mhcnuggetsr, ML2Pvae, mlflow, modeltime.gluonts, MOFA2, motifr, msImpute, multicrispr, mxnorm, neptune, nmslibR, onnx, otsad, PAMpal, pareg, parseRPDR, pharmr, phateR, PressPurt, pyMTurkR, pysd2r, rasciidoc, RAthena, RChest, rescue, rgee, rGenomeTracks, RGF, RIA, Rmagic, Robyn, RPyGeo, rpymat, Rstg, rTorch, scaffolder,, seqArchR, Seurat, sgmcmc, shapper, simulariatools, singleCellTK, sjSDM, snap, snifter, spacyr, spatialDE, SPOTMisc, sqlparseR, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfprobability, tfruns, theft, Trading, transforEmotion, umap, velociraptor, XRPython, youtubecaption, zellkonverter
Reverse suggests: arrow, coro,, DelayedTensor, dimRed, dMod, fastshap, filebin, findpython, govdown, IFC, knitr, LoomExperiment, mshap, pdp, periodicDNA, PhysicalActivity, Platypus, plotly, precommit, RaMS, raveio, RcppArmadillo, RcppCNPy, renv, rliger, rsconnect, sessioninfo, sigminer, Statsomat, stevedore, survivalmodels, ttgsea, VAExprs, wikilake, workflowr
Reverse enhances: analysisPipelines


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