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cols4all

0.10Package record

Colors for all

2packages dependsuggested by 3
316.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes cyclic and bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.

Changes in 0.10
  • palettes from bivario added
  • black and white option added

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 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 0.10
README· In the repository, left out of the releaseVignettes· In the repository, left out of the releaseNEWSYes · 100% structured · mentions 0.10Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
13includes a package overview page
Examples that run
100%11 run in a plain check (1 of them under a condition)
Exported functions with examples
92%
Documented parameters
86%
Return-value docs
92%
Help pages citing references
0%

Downloads

316.8K
CRAN downloads in the past year
Rank #750 · ~868/day · ~26.4K/mo
Daily download trend is not available in this view yet.
32.3K30 days
67.1K90 days
316.8K1 year
Compare downloads with other packages →
Also on2.2K r2u12 autocran2.1K conda_forge

Repository

370Stars
17Forks
3Open issues
0Open PRs
1Releases
289Commits
4Commit identities
289 commits · Last activity 2026-09-02 · 0% stars, 30d · Default branch at 0.11, ahead of CRAN 0.10 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
21
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-17 · 3492026-09-04 · 370
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/cols4all/cols4all-r on 2026-10-11.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-02 · The repository has a site deploy workflow

pkgdown site last built 2026-09-02

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing cols4all adds 6 packages (3 with compiled code, 4.2 MB of source tarballs). Heaviest: colorspace 2.0 MB, logger 1.1 MB, stringdist 843 KB.

Depends (1)
R >= 4.1.0
Imports (8)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
21indirect
Imports 2
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (8)
Author, Maintainer since 0.6 (2023)
Contributor
Contributor
Contributor
Contributor
Contributor
Contributor · added in 0.7
Contributor
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.10Latest
    record
    2025-10-27 · current release · diff ↗
  • 0.9
    record
    2025-08-28 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.8
    record
    2024-10-17 · diff ↗ ·
    added 1 export
    c4a_ramp
  • R
    R 4.4.0 released · 2024-04-24
  • 0.7-1
    record
    2024-03-12 · diff ↗
  • 0.7
    record
    2024-03-06 · diff ↗ ·
    added 5 exports
    c4a_duplicate, c4a_modify, c4a_plot_cvd, c4a_plot_hex, c4a_scores
  • R
    R 4.3.0 released · 2023-04-21
  • 0.6
    record
    2023-02-02
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-02-02
Total releases
6 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Download size
2.3 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("cols4all")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.2312/evs.20231040.

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 cols4all version 0.10 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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