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nplyr

0.3.0Package record

A Grammar of Nested Data Manipulation

0packages depend
7.1Kdownloads / year
99.6%test coverage
13/13flavors OK

Overview

About

Provides functions for manipulating nested data frames in a list-column using 'dplyr' https://dplyr.tidyverse.org/ syntax. Rather than unnesting, then manipulating a data frame, 'nplyr' allows users to manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.

Changes in 0.3.0
  • The package has been transferred to a new maintainer. From @markjrieke to @jibarozzo.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3.0
READMEYes · 323 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.3.0Citation fileNoWebsiteYes · pkgdown
Help pages
23 (1 internal)
Examples that run
100%20 run in a plain check
Exported functions with examples
95%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

7.1K
CRAN downloads in the past year
Rank #7,890 · ~20/day · ~596/mo
Daily download trend is not available in this view yet.
42130 days
1.2K90 days
7.1K1 year
Compare downloads with other packages →
Also on68 r2u5 autocran892 conda_forge

Repository

123Stars
3Forks
9Open issues
0Open PRs
3Releases
101Commits
3Commit identities
101 commits · Last activity 2025-06-10 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
75
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-06-03 · 1212026-07-07 · 123
PracticesBeta

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

Checks run against github.com/jibarozzo/nplyr on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-06-10 · The repository has a site deploy workflow

pkgdown site last built 2025-06-10

Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing nplyr adds 21 packages (12 with compiled code, 18 MB of source tarballs). Heaviest: stringi 11 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 0.3.0 (2025) · added in 0.3.0
Contributor · added in 0.2.0

Previously maintained by Mark Rieke (0.1.0 to 0.2.0).

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.0Latest
    record
    2025-05-29 · current release · diff ↗ ·
    added 1 export
    %>%
  • 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
  • 0.2.0
    record
    2023-02-14 · diff ↗ ·
    added 6 exports
    nest_drop_na, nest_extract, nest_fill, nest_replace_na, nest_separate, nest_unite
  • 0.1.0
    record
    2022-07-18
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-07-18
Total releases
3 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
19 KB / 2 files
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nplyr")
Aponte Rolón, B., Elias, J., & Rieke, M. (2025). nplyr: A Grammar of Nested Data Manipulation (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.nplyr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nplyr version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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