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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:	1.36.1
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:	2024-04-22
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 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_1.36.1.tar.gz
Windows binaries:	r-devel: reticulate_1.36.1.zip, r-release: reticulate_1.36.1.zip, r-oldrel: reticulate_1.36.1.zip
macOS binaries:	r-release (arm64): reticulate_1.36.1.tgz, r-oldrel (arm64): reticulate_1.36.1.tgz, r-release (x86_64): reticulate_1.36.1.tgz, r-oldrel (x86_64): reticulate_1.36.1.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, APL, arcpy, ARMALSTM, autokeras, azuremlsdk, bbknnR, bigergm, BiocHail, botor, BRACoD.R, caracas, causact, cbpManager, CelliD, chess, chromConverter, cleanNLP, clinspacy, crisprScore, CRISPRseek, criticality, CytOpT, daltoolbox, decompDL, DeepPINCS, deepredeff, deepregression, deeptrafo, densvis, DesignCTPB, dgpsi, DIAlignR, digitalDLSorteR, DominoDataR, DrDimont, dynamicSDM, edgebundle, EEMDlstm, eseis, EWSmethods, fastai, FLAMES, FMAT, forImage, FORTLS, FSDAM, fuzzywuzzyR, GeneSelectR, GenProSeq, GeoMongo, grafzahl, greta, h2o4gpu, HiCool, idr2d, interplex, ip2location, ip2proxy, janus, keras, keras3, kerastuneR, kgen, LDNN, leiden, lilikoi, MACSr, MaOEA, MBMethPred, meltt, MFSIS, mglasso, MGPSDK, mgpStreamingSDK, mhcnuggetsr, ML2Pvae, mmstat4, mnda, MOFA2, motifr, msImpute, multicrispr, mxnorm, neptune, neuralGAM, nmslibR, nser, onnx, orthos, otsad, PAMpal, pareg, pharmr, phateR, phemd, PressPurt, processpredictR, PsychWordVec, pyMTurkR, pysd2r, pysparklyr, rasciidoc, RAthena, RcausalEGM, RChest, rdaisi, rdataretriever, recountmethylation, reservoirnet, rgee, rgeedim, rGenomeTracks, rgeomstats, RGF, Robyn, rpyANTs, RPyGeo, rpymat, Rstg, rTLsDeep, rTorch, sarp.snowprofile.pyface, sasr, scaffolder, scapGNN, scfetch, scPipe, scviR, sendigR, sentiment.ai, seqArchR, Seurat, shapper, SimBu, simulariatools, singleCellTK, sisireg, sjSDM, slendr, smallsets, snap, snifter, snowquery, spacyr, SpatialDDLS, spatialDE, sqlparseR, stepmixr, stressor, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, tfruns, theft, TheOpenAIR, tidyrgee, Trading, transforEmotion, TSdeeplearning, tsLSTMx, umap, uniswappeR, validmind, velociraptor, voice, xlcharts, XRPython, zellkonverter
Reverse suggests:	arrow, basilisk.utils, causalOT, codez, coro, CRMetrics, cuda.ml, CuratedAtlasQueryR, DALEXtra, DelayedTensor, dimRed, dMod, fastGLCM, filebin, findpython, govdown, IFC, IOHanalyzer, iterors, knitr, learnr, LoomExperiment, mlflow, mshap, nn2poly, parseRPDR, pdp, periodicDNA, phoenix, PhysicalActivity, plotly, precommit, 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:

Please use the canonical form https://CRAN.R-project.org/package=reticulate to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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