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: 1.22
Depends: R (≥ 3.0)
Imports: Matrix, Rcpp (≥ 0.12.7), graphics, here, jsonlite, methods, png, rappdirs, utils, withr
LinkingTo: Rcpp
Suggests: callr, knitr, rlang, rmarkdown, testthat
Published: 2021-09-17
Author: Kevin Ushey [aut, cre], 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: Kevin Ushey <kevin at rstudio.com>
BugReports: https://github.com/rstudio/reticulate/issues
License: Apache License 2.0
URL: 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
python_dependencies
Installing Python Packages
R Markdown Python Engine
Python Version Configuration

Downloads:

Package source: reticulate_1.22.tar.gz
Windows binaries: r-devel: reticulate_1.22.zip, r-devel-UCRT: reticulate_1.22.zip, r-release: reticulate_1.22.zip, r-oldrel: reticulate_1.22.zip
macOS binaries: r-release (arm64): reticulate_1.22.tgz, r-release (x86_64): reticulate_1.22.tgz, r-oldrel: reticulate_1.22.tgz
Old sources: reticulate archive

Reverse dependencies:

Reverse depends: BiocSklearn, CallEshotgun, Herper, mixKernel, rMIDAS
Reverse imports: aif360, altair, anndata, autokeras, azuremlsdk, basilisk, botor, BRACoD.R, caracas, cbpManager, CelliD, chess, cleanNLP, clinspacy, CRISPRseek, DALEXtra, dasper, dccvalidator, DeepPINCS, deepredeff, deepregression, densvis, DesignCTPB, dialectR, DIAlignR, digitalDLSorteR, DiNAMIC.Duo, edgebundle, eseis, excerptr, fastai, feamiR, featuretoolsR, forImage, FSDAM, fuzzywuzzyR, GeoMongo, greta, h2o4gpu, idr2d, IGP, ip2location, ip2proxy, keras, kerasR, kerastuneR, LDNN, leiden, lilikoi, MACSr, MaOEA, mboxr, meltt, mhcnuggetsr, ML2Pvae, mlflow, modeltime.gluonts, MOFA2, motifr, msImpute, multicrispr, neptune, nmslibR, onnx, otsad, PAMpal, parseRPDR, pharmr, phateR, phemd, PressPurt, pysd2r, rasciidoc, RAthena, RChest, rdataretriever, rescue, rgee, RGF, RIA, Rmagic, RNASeqR, RPyGeo, rTorch, scaffolder, Seurat, sgmcmc, shapper, singleCellTK, snap, snifter, spacyr, sqlparseR, sudachir, tensorflow, text, tfaddons, tfautograph, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfprobability, tfruns, Trading, umap, velociraptor, XRPython, youtubecaption, zellkonverter
Reverse suggests: arrow, coro, dimRed, dMod, fastshap, findpython, govdown, IFC, knitr, LoomExperiment, mshap, periodicDNA, PhysicalActivity, plotly, precommit, RaMS, raveio, RcppArmadillo, RcppCNPy, renv, rhdf5client, rliger, rsconnect, sigminer, specmine, Statsomat, stevedore, survivalmodels, ttgsea, wikilake, workflowr
Reverse enhances: analysisPipelines

Linking:

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