R Observatory: Metrics for multidplyr version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

multidplyr

0.1.4

A Multi-Process 'dplyr' Backend

5packages depend

19.4Kdownloads / year

93.8%test coverage

13/13checks pass

Overview

About

Maintained by Hadley WickhamFirst published 2021-02-085 releasesCRAN page ↗GitHub ↗

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

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("multidplyr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidyverse/multidplyr")

Development version from tidyverse/multidplyr. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-multidplyr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-multidplyr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-multidplyr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.47

93.8%

Coverage · measured lines

92%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-07
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 345 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 93%
Return-value docs: 100%
References docs: 0%

Downloads

19.4K

CRAN downloads in the past year

Rank #3,328 · ~53/day · ~1.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

92430 days

3.2K90 days

19.4K1 year

Compare downloads with other packages →

Also on314 r2u18 autocran1.5K conda_forge

Repository

GitHub ↗ tidyverse/multidplyr

650Stars

76Forks

18Open issues

1Open PRs

5Releases

197Commits

17Contributors

dplyrmultiprocess

197 commits · Last activity 2025-11-13 · 0% stars, 30d

Stars over time

2025-04-21 · 6432026-07-07 · 650

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/tidyverse/multidplyr on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (3)

AirVS CodeRStudio project

Show all practices

Coverage (2)

Codecov.covrignore

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (11)

callr cli crayon dplyr magrittr qs2 R6 rlang tibble tidyselect vctrs

LinkingTo (0)

none

Suggests (9)

covr knitr lubridatemgcvnycflights13 rmarkdown testthat vroom withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

0indirect

Rdistance baldur depower rsofun skytrackr

Code & Tests

People & History

People (2)

Maintainer (1)

Hadley Wickham

Author, Maintainer

Authors (1)

Hadley Wickham

Author, Maintainer

Copyright holders (1)

Posit Software, PBC

Copyright holder, Funder · added in 0.1.3

Funders (1)

Posit Software, PBC

Copyright holder, Funder · added in 0.1.3

Listed in earlier versions (1)

RStudio

no longer listed · 0.1.0 to 0.1.2

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.4Latest
2025-11-13 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.3
2023-03-22 · diff ↗
0.1.2
2022-09-26 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.1
2021-12-01 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.0
2021-02-08
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-08
Total releases: 5 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.6
Download size: 25 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multidplyr")

Format

Wickham, H., & Posit Software, PBC. (2025). multidplyr: A Multi-Process 'dplyr' Backend (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.multidplyr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for multidplyr version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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