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pysparklyr: Provides a 'PySpark' Back-End for the 'sparklyr' Package

It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.

Version:0.1.9
Imports:arrow,cli,DBI,dplyr,dbplyr,glue,purrr,reticulate (≥1.41.0.1), methods,rlang,sparklyr,tidyselect,fs,magrittr,tidyr,vctrs,processx,httr2,rstudioapi,rsconnect
Suggests:crayon,R6,testthat (≥ 3.0.0),tibble,withr
Published:2025-10-07
DOI:10.32614/CRAN.package.pysparklyr
Author:Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer:Edgar Ruiz <edgar at posit.co>
BugReports:https://github.com/mlverse/pysparklyr/issues
License:MIT + fileLICENSE
URL:https://github.com/mlverse/pysparklyr
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:pysparklyr results

Documentation:

Reference manual:pysparklyr.html ,pysparklyr.pdf

Downloads:

Package source: pysparklyr_0.1.9.tar.gz
Windows binaries: r-devel:pysparklyr_0.1.9.zip, r-release:pysparklyr_0.1.9.zip, r-oldrel:pysparklyr_0.1.9.zip
macOS binaries: r-release (arm64):pysparklyr_0.1.9.tgz, r-oldrel (arm64):pysparklyr_0.1.9.tgz, r-release (x86_64):pysparklyr_0.1.9.tgz, r-oldrel (x86_64):pysparklyr_0.1.9.tgz
Old sources: pysparklyr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pysparklyrto link to this page.


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