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:	1.40.0
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:	2024-11-15
DOI:	10.32614/CRAN.package.reticulate
Author:	Tomasz Kalinowski [ctb, 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.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_1.40.0.tar.gz
Windows binaries:	r-devel: reticulate_1.40.0.zip, r-release: reticulate_1.40.0.zip, r-oldrel: reticulate_1.40.0.zip
macOS binaries:	r-release (arm64): reticulate_1.40.0.tgz, r-oldrel (arm64): reticulate_1.40.0.tgz, r-release (x86_64): reticulate_1.40.0.tgz, r-oldrel (x86_64): reticulate_1.40.0.tgz
Old sources:	reticulate archive

Reverse dependencies:

Reverse depends:	basilisk, BiocSklearn, f1dataR, Herper, mixKernel, netZooR, ngboostForecast, RISCA, rMIDAS
Reverse imports:	acro, ag5Tools, agcounts, aifeducation, altair, animl, anndata, arcpy, ARMALSTM, autokeras, autovi, azuremlsdk, bbknnR, bigergm, botor, BRACoD.R, brickster, caracas, causact, cbpManager, CelliD, chess, chromConverter, cleanNLP, clinspacy, crisprScore, CRISPRseek, criticality, CytOpT, D4TAlink.light, daltoolbox, decompDL, DeepPINCS, deepredeff, deepregression, deeptrafo, densvis, DesignCTPB, dgpsi, DominoDataR, DrDimont, dynamicSDM, edgebundle, EEMDlstm, EFAfactors, eseis, EWSmethods, fastai, FLAMES, FMAT, forImage, FORTLS, FSDAM, fuzzywuzzyR, gdverse, GeneSelectR, GenProSeq, GeoMongo, grafzahl, greta, greta.censored, h2o4gpu, heimdall, HiCool, hollr, idr2d, immApex, interplex, ip2location, ip2locationio, ip2proxy, ip2whois, janus, keras, keras3, kerastuneR, kgen, LDNN, leiden, lilikoi, MACSr, mafR, MaOEA, MBMethPred, meltt, MFSIS, mglasso, MGPSDK, mgpStreamingSDK, mhcnuggetsr, ML2Pvae, mmstat4, mnda, mobileRNA, MOFA2, motifr, msImpute, multicrispr, mxnorm, neptune, neuralGAM, nmslibR, nser, onnx, ontoProc, orthos, PAMpal, pharmr, phateR, Pirat, PressPurt, processpredictR, PsychWordVec, pyMTurkR, pysd2r, pysparklyr, PytrendsLongitudinalR, rasciidoc, RAthena, RcausalEGM, RChest, rdaisi, rdataretriever, recountmethylation, reservoirnet, ReSurv, rgee, rgeedim, rGenomeTracks, rgeomstats, RGF, RLoptimal, Robyn, rpyANTs, RPyGeo, rpymat, Rstg, rTLsDeep, rTorch, sarp.snowprofile.pyface, sasr, scaffolder, scapGNN, scifer, scPipe, scviR, sendigR, sentiment.ai, Seurat, shapper, SimBu, simulariatools, singleCellTK, sisireg, sjSDM, sketchR, slendr, smallsets, snap, snifter, snowquery, spacyr, SpatialDDLS, spatialDE, sqlparseR, ssw, stepcount, stepmixr, streetscape, stressor, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, tfruns, theft, TheOpenAIR, tidyrgee, tm.plugin.mail, transforEmotion, TSdeeplearning, tsLSTMx, umap, validmind, VecDep, velociraptor, VertexWiseR, voice, xlcharts, XRPython, zellkonverter
Reverse suggests:	arrow, basilisk.utils, causalOT, codez, coro, CRMetrics, cuda.ml, CuratedAtlasQueryR, DALEXtra, DelayedTensor, dimRed, dMod, fastGLCM, filebin, findpython, flourishcharts, govdown, ieegio, IFC, Infusion, IOHanalyzer, iterors, knitr, laminr, learnr, LoomExperiment, marginaleffects, mlflow, mshap, nn2poly, parseRPDR, pdp, periodicDNA, phoenix, PhysicalActivity, plotly, precommit, ProjectTemplate, qeML, RaMS, rcaiman, RcppArmadillo, RcppCNPy, renv, reservr, RIA, rsconnect, rworkflows, scCustomize, SCdeconR, SCORPIUS, sessioninfo, sigminer, smoof, sonicscrewdriver, Statsomat, stevedore, survex, survivalmodels, survivalSL, TDApplied, tfevents, ttgsea, VAExprs, vetiver, wikilake, workflowr

Linking:

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