multidplyr: A Multi-Process 'dplyr' Backend

Partition a data frame across multiple worker processes to provide simple multicore parallelism.

Version: 0.1.3
Depends: R (≥ 3.4.0)
Imports: callr (≥ 3.5.1), cli, crayon, dplyr (≥ 1.0.0), magrittr, qs (≥ 0.24.1), R6, rlang (≥ 1.0.6), tibble, tidyselect, vctrs (≥ 0.3.6)
Suggests: covr, knitr, lubridate, mgcv, nycflights13, rmarkdown, testthat (≥ 3.0.2), vroom, withr
Published: 2023-03-22
DOI: 10.32614/CRAN.package.multidplyr
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: multidplyr results


Reference manual: multidplyr.pdf
Vignettes: An introduction to multidplyr


Package source: multidplyr_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): multidplyr_0.1.3.tgz, r-oldrel (arm64): multidplyr_0.1.3.tgz, r-release (x86_64): multidplyr_0.1.3.tgz, r-oldrel (x86_64): multidplyr_0.1.3.tgz
Old sources: multidplyr archive

Reverse dependencies:

Reverse imports: baldur, brpop


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