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:	1.26
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:	2022-08-31
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 rstudio.com>
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:	HighPerformanceComputing, ModelDeployment, NumericalMathematics
CRAN checks:	reticulate results

Documentation:

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

Downloads:

Package source:	reticulate_1.26.tar.gz
Windows binaries:	r-devel: reticulate_1.26.zip, r-release: reticulate_1.26.zip, r-oldrel: reticulate_1.26.zip
macOS binaries:	r-release (arm64): reticulate_1.26.tgz, r-oldrel (arm64): reticulate_1.26.tgz, r-release (x86_64): reticulate_1.26.tgz, r-oldrel (x86_64): reticulate_1.26.tgz
Old sources:	reticulate archive

Reverse dependencies:

Reverse depends:	BiocSklearn, mixKernel, netZooR, ngboostForecast, RISCA, rMIDAS
Reverse imports:	ag5Tools, aif360, altair, animl, anndata, APL, autokeras, azuremlsdk, basilisk, bbknnR, 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, dimensionalAnalysis, 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, phemd, PressPurt, pyMTurkR, pysd2r, RAthena, RChest, rdaisi, rdataretriever, rescue, rgee, rGenomeTracks, RGF, RIA, Rmagic, Robyn, RPyGeo, rpymat, Rstg, rTorch, scaffolder, scapGNN, sendigR, sentiment.ai, seqArchR, Seurat, sgmcmc, shapper, simulariatools, singleCellTK, sjSDM, slendr, snap, snifter, spacyr, spatialDE, SPOTMisc, sqlparseR, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfprobability, tfruns, theft, Trading, transforEmotion, TSdeeplearning, umap, uniswappeR, velociraptor, voice, XRPython, youtubecaption, zellkonverter
Reverse suggests:	arrow, coro, cuda.ml, DelayedTensor, dimRed, dMod, fastGLCM, fastshap, filebin, findpython, govdown, IFC, interplex, 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

Linking:

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