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:	1.47.0
Depends:	R (≥ 3.5)
Imports:	Matrix, Rcpp (≥ 1.0.7), RcppTOML, graphics, here, jsonlite, methods, png, rappdirs, utils, rlang, withr
LinkingTo:	Rcpp
Suggests:	callr, knitr, glue, cli, rmarkdown, pillar, testthat
Published:	2026-09-03
DOI:	10.32614/CRAN.package.reticulate
Author:	Tomasz Kalinowski [aut, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [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:	Tomasz Kalinowski <tomasz at posit.co>
BugReports:	https://github.com/rstudio/reticulate/issues
License:	Apache License 2.0
URL:	https://rstudio.github.io/reticulate/, https://github.com/rstudio/reticulate
NeedsCompilation:	yes
SystemRequirements:	Python (>= 2.7.0)
Materials:	NEWS
In views:	Cluster, HighPerformanceComputing, ModelDeployment, NumericalMathematics
CRAN checks:	reticulate results

Documentation:

Reference manual:	reticulate.html , reticulate.pdf
Vignettes:	Arrays in R and Python (source) Calling Python from R (source) Using reticulate in an R Package (source) Managing an R Package's Python Dependencies (source) Installing Python Packages (source) Primer on Python for R Users (source) R Markdown Python Engine (source) Python Version Configuration (source)

Downloads:

Package source:	reticulate_1.47.0.tar.gz
Windows binaries:	r-devel: reticulate_1.47.0.zip, r-release: reticulate_1.47.0.zip, r-oldrel: reticulate_1.47.0.zip
macOS binaries:	r-release (arm64): reticulate_1.47.0.tgz, r-oldrel (arm64): reticulate_1.47.0.tgz, r-release (x86_64): reticulate_1.47.0.tgz, r-oldrel (x86_64): reticulate_1.47.0.tgz
Old sources:	reticulate archive

Reverse dependencies:

Reverse depends:	f1dataR, hicream, mixKernel, ngboostForecast, ONAM, RISCA, rMIDAS
Reverse imports:	acro, actinet, ag5Tools, agcounts, aifeducation, AIGENIE, AIGRA, altair, animl, anndata, arcpy, arete, ARMALSTM, asleep, autokeras, autotab, autovi, azuremlsdk, BayesForge, BayesianInference, BERTopic, bertopicr, bigergm, birdnetR, bolt4jr, botor, BRACoD.R, caracas, causact, CGMissingDataR, chess, chromConverter, cleanNLP, clinspacy, CodeCarbonR, conflibertR, copernicusR, criticality, CytOpT, D4TAlink.light, daltoolboxdp, dawnn, DeepLearningCausal, deepspat, dgpsi, DNNSIM, doclingr, DominoDataR, DownBallotR, DrDimont, dynamicSDM, easieRnmt, ebm, EEMDlstm, EFAfactors, epiworldRcalibrate, eseis, EWSmethods, excerptr, fabricQueryR, fastai, fastrerandomize, fibos, FMAT, FORTLS, FSDAM, fuzzywuzzyR, fz, GALLO, gdverse, geeLite, GeoMongo, globaltrends, grafzahl, greta, h2o4gpu, heimdall, hollr, ICESat2VegR, imputeCGM, infocausality, ip2location, ip2locationio, ip2proxy, ip2whois, iRfcb, janus, keras, keras3, kerasnip, kgen, kuzuR, laminr, lbugr, LCPA, LDNN, leaf, leiden, lilikoi, lionfish, lpmec, LSTMfactors, mafR, MaOEA, MBMethPred, meltt, MFSIS, mglasso, MGPSDK, mgpStreamingSDK, mhcnuggetsr, minorparties, ML2Pvae, mmstat4, mnda, motifr, MRIreduce, mxnorm, neptune, neuralGAM, NeuralSTATIS, nmslibR, nser, onnx, PAMpal, pangoling, pharmr, phateR, PKbioanalysis, PressPurt, processpredictR, pyMTurkR, pysd2r, pysparklyr, PytrendsLongitudinalR, qmj, ragnar, rasciidoc, RAthena, rbiogeme, RcausalEGM, RChest, rCISSVAE, RcppTskit, rdaisi, rdataretriever, rdkitpyr, reservoirnet, rgee, rgeedim, rgeomstats, RGF, rIACI, rinet, RLescalation, RLoptimal, Robyn, rPandas, rpyANTs, RPyGeo, rpymat, Rstg, sarp.snowprofile.pyface, sasquatch, sasr, scapGNN, scFlex, semanticfa, sendigR, sentiment.ai, Seurat, shapper, ShinyBlock, SigBridgeRUtils, simulariatools, sisireg, sjSDM, sleeper, slendr, snowquery, soilFlux, soilVAE, spacyr, sqlfluffr, sqlparseR, ssw, stanza, stepcount, stepmixr, streetscape, stressor, sudachir, sumup, tabpfn, tarpolyglot, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, tfruns, theft, TheOpenAIR, ThinkingGrid, tm.plugin.mail, Trading, transforEmotion, transformerForecasting, tReeTraits, TSdeeplearning, tsLSTMx, twscrapeR, umap, ustats, validmind, VecDep, VertexWiseR, vmsae, voice, walking, weightederm, whirl, xlcharts
Reverse suggests:	ACEP, actimetrics, actiread, arrow, autoslider.core, baskwrap, blosc, causalOT, chronometre, citestR, ClustAssess, cograph, CohortContrast, coro, CRMetrics, cubar, cuda.ml, DALEXtra, dataquieR, dbMatrix, DDESONN, dimRed, dMod, dplyneage, elcf4R, fastGLCM, filebin, findpython, fioRa, flourishcharts, FuelDeep3D, gamm4, gdpar, ggsql, govdown, gpbiometrics, GTFShift, HOIF, huggingfaceR, ieegio, IFC, Infusion, knitr, LBDiscover, learnr, mappingAS, mlflow, mlr3automl, multiRL, nanoarrow, nn2poly, parseRPDR, PatientLevelPrediction, pdp, phoenix, PhysicalActivity, plotly, prcbench, precommit, probcal, ProjectTemplate, qeML, RaMS, RcppArmadillo, RcppCNPy, RegimeChange, renv, reservr, ResultModelManager, RIA, rixpress, rMIDAS2, rsconnect, rtemis, rupturesRcpp, rworkflows, scCustomize, sddr, sessioninfo, sigminer, smoof, sonicscrewdriver, specmine, stevedore, SUMO, survex, survivalmodels, TDApplied, TextAnalysisR, textrecipes, tfevents, theorytools, tidynorm, tidypopgen, tidyrgee, VectrixDB, vetiver, vitals, vrpr, wikilake, wompwomp, workflowr, wru

Linking:

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