CRAN: Package reticulate

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: 1.44.1

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: 2025年11月14日

DOI: 10.32614/CRAN.package.reticulate

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, 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_1.44.1.tar.gz

Windows binaries: r-devel: reticulate_1.44.1.zip, r-release: reticulate_1.44.1.zip, r-oldrel: reticulate_1.44.1.zip

macOS binaries: r-release (arm64): reticulate_1.44.1.tgz, r-oldrel (arm64): reticulate_1.44.1.tgz, r-release (x86_64): reticulate_1.44.1.tgz, r-oldrel (x86_64): reticulate_1.44.1.tgz

Old sources: reticulate archive

Reverse dependencies:

Reverse depends: basilisk, BiocSklearn, f1dataR, Herper, hicream, mixKernel, ngboostForecast, ONAM, RISCA, rMIDAS, SpectriPy

Reverse imports: acro, ag5Tools, agcounts, aifeducation, altair, animl, anndata, anndataR, arcpy, arete, ARMALSTM, autokeras, autotab, autovi, azuremlsdk, bigergm, BiocHail, birdnetR, bolt4jr, botor, BRACoD.R, caracas, causact, cbpManager, CelliD, chess, chromConverter, cleanNLP, clinspacy, copernicusR, crisprScore, CRISPRseek, criticality, CytOpT, D4TAlink.light, daltoolboxdp, DeepLearningCausal, DeepPINCS, deepredeff, deepregression, deepspat, deeptrafo, densvis, dgpsi, DNAcycP2, DNNSIM, DominoDataR, DOtools, DrDimont, dynamicSDM, ebm, edgebundle, EFAfactors, ELViS, eseis, EWSmethods, excerptr, fastai, fastrerandomize, fibos, FLAMES, FMAT, FSDAM, fuzzywuzzyR, gdverse, geeLite, GenProSeq, GeoMongo, grafzahl, h2o4gpu, heimdall, hollr, Ibex, idr2d, infocausality, interplex, ip2location, ip2locationio, ip2proxy, ip2whois, iRfcb, janus, keras, keras3, kerasnip, kerastuneR, kgen, kuzuR, laminr, LDNN, leiden, lilikoi, lionfish, LLMing, LSTMfactors, MACSr, mafR, MaOEA, MBMethPred, meltt, MFSIS, mglasso, MGPSDK, mgpStreamingSDK, mhcnuggetsr, minorparties, ML2Pvae, mmstat4, mnda, mobileRNA, MOFA2, motifr, msImpute, multicrispr, mxnorm, neptune, neuralGAM, nmslibR, onnx, ontoProc, orthos, PAMpal, pangoling, pharmr, phateR, Pirat, PressPurt, processpredictR, pyMTurkR, pysd2r, pysparklyr, PytrendsLongitudinalR, qmj, ragnar, rasciidoc, RAthena, RcausalEGM, RChest, rdaisi, rdataretriever, recountmethylation, reservoirnet, ReSurv, RFLOMICS, rgee, rgeedim, rGenomeTracks, rgeomstats, RGF, rIACI, RLescalation, RLoptimal, Robyn, rpyANTs, RPyGeo, rpymat, Rstg, rTLsDeep, sarp.snowprofile.pyface, sasr, scapGNN, scGraphVerse, scifer, scPipe, scPOEM, scviR, sendigR, sentiment.ai, Seurat, shapper, SimBu, simulariatools, singleCellTK, sisireg, sjSDM, sketchR, slendr, smallsets, snap, snifter, snowquery, spacyr, SpatialDDLS, spatialDE, sqlparseR, ssw, stanza, stepcount, stepmixr, stPipe, streetscape, stressor, sudachir, sumup, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, tfruns, theft, TheOpenAIR, tm.plugin.mail, Trading, transforEmotion, transformerForecasting, tsLSTMx, umap, validmind, VecDep, velociraptor, VertexWiseR, vmsae, voice, whirl, xlcharts, XRPython, zellkonverter

Reverse suggests: arrow, autoslider.core, blosc, causalOT, ClustAssess, codez, coro, CRMetrics, cubar, cuda.ml, CuratedAtlasQueryR, DALEXtra, dataquieR, DelayedTensor, dimRed, dMod, fastGLCM, filebin, findpython, fioRa, flourishcharts, govdown, HoloFoodR, ieegio, IFC, Infusion, IOHanalyzer, iterors, knitr, LBDiscover, learnr, LoomExperiment, marginaleffects, mlflow, nn2poly, parseRPDR, PatientLevelPrediction, pdp, periodicDNA, phoenix, PhysicalActivity, plotly, precommit, ProjectTemplate, qeML, RaMS, rcaiman, RcppArmadillo, RcppCNPy, renv, reservr, ResultModelManager, RIA, rixpress, rsconnect, rupturesRcpp, rworkflows, scCustomize, SCdeconR, SCORPIUS, sessioninfo, sigminer, SLmetrics, smoof, sonicscrewdriver, stevedore, SUMO, survex, survivalmodels, TDApplied, textrecipes, tfevents, tidynorm, tidypopgen, tidyrgee, ttgsea, VAExprs, vetiver, wikilake, workflowr

Linking:

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