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Native Raster Image Tools

0packages depend
1.5Kdownloads / year
46.2%test coverage
13/13flavors OK

Overview

About

Native rasters are a core R image format which use a compact color representation. This color representation closely aligns with graphics device internals meaning that these images can be rendered quickly. This package provides functions to quickly create, manipulate and composite native rasters.

Changes in 1.0.2
  • For CRAN: Fix lto/asan issues.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK7 OK2026-05-28
Advisories

none known

Documentation

In release 1.0.2
README· In the repository, left out of the releaseVignettesYes · 6 · dynamicNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsiteYes
Help pages
38 (1 internal)includes a package overview page
Examples that run
100%34 run in a plain check (4 of them under a condition)
Exported functions with examples
100%
Documented parameters
80%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.5K
CRAN downloads in the past year
Rank #15,828 · ~4/day · ~129/mo
Daily download trend is not available in this view yet.
22730 days
78790 days
1.5K1 year
Compare downloads with other packages →
Also on78 r2u6 autocran

Repository

63Stars
4Forks
2Open issues
0Open PRs
0Releases
161Commits
1Commit identities
gfxgraphicspackagepkgr
161 commits · Last activity 2026-05-28 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
302
Median days to close, 50 most recently updated closed PRs
32

Stars over time

2025-08-01 · 632026-07-07 · 63
PracticesBeta

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

Checks run against github.com/coolbutuseless/nara 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 (1)
README.Rmd
Reproducibility and dev environment (2)
data-raw/Dev Container
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing nara adds 1 package (1 with compiled code, 38 KB of source tarballs). Heaviest: colorfast 38 KB.

Depends (1)
R >= 4.1.0
Imports (1)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.1 (2026), Copyright holder
Contributor
Author of public domain code for thick polylines
Releases (2)

Pick two releases to compare their code metrics.

  • 1.0.2Latest
    record
    2026-05-28 · current release · diff ↗
  • 1.0.1
    record
    2026-05-27
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-27
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Copyright
The included 'deer' sprites are by Calciumtrice and licensed under CC BY 3.0. See 'inst/LICENSE-deer.txt' for more details. The included bitmap font 'spleen' was created by Frederic Cambus (c) 2018-2024. See 'inst/LICENSE-spleen.txt' for full LICENSE
Minimum R
≥ 4.1.0
Bundled data
19 KB / 3 files
Download size
332 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nara")
Cheng, M., & Vernay, J. (2026). nara: Native Raster Image Tools (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.nara

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 nara version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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