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: 1.35.0
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: 2024-01-31
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.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_1.35.0.tar.gz
Windows binaries: r-devel: reticulate_1.35.0.zip, r-release: reticulate_1.35.0.zip, r-oldrel: reticulate_1.35.0.zip
macOS binaries: r-release (arm64): reticulate_1.35.0.tgz, r-oldrel (arm64): reticulate_1.35.0.tgz, r-release (x86_64): reticulate_1.35.0.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: basilisk, BiocSklearn, f1dataR, Herper, mixKernel, netZooR, ngboostForecast, rMIDAS
Reverse imports: acro, ag5Tools, aifeducation, altair, animl, anndata, APL, arcpy, 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, harbinger, HiCool, idr2d, interplex, ip2location, ip2proxy, janus, keras, keras3, kerastuneR, kgen, LDNN, leiden, lilikoi, MACSr, MaOEA, MBMethPred, meltt, MFSIS, mglasso, MGPSDK, mgpStreamingSDK, mhcnuggetsr, ML2Pvae, 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, SPOTMisc, 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, velociraptor, voice, 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, PhysicalActivity, plotly, precommit, qeML, RaMS, rcaiman, RcppArmadillo, RcppCNPy, renv, reservr, RIA, rliger, rsconnect, rworkflows, scCustomize, SCORPIUS, sessioninfo, sigminer, smoof, sonicscrewdriver, Statsomat, stevedore, survex, survivalmodels, survivalSL, TDApplied, tfevents, ttgsea, VAExprs, vetiver, wikilake, workflowr

Linking:

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