R Observatory: Metrics for shinyHeatmaply version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

shinyHeatmaply

0.2.0Package record

Deploy 'heatmaply' using 'shiny'

0packages depend

3.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jonathan SidiCRAN page ↗GitHub ↗Issues ↗

Access functionality of the 'heatmaply' package through 'Shiny UI'.

Install

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

install.packages("shinyHeatmaply", 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("yonicd/shinyHeatmaply")

Development version from yonicd/shinyHeatmaply. 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-shinyheatmaply

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-shinyHeatmaply

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-shinyHeatmaply

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 3 NOTE2026-04-08
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-07
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 165 wordsVignettesNoNEWSNoCitation fileNo

Help pages: 3 (2 internal)
Examples that run: 50%1 run in a plain check · 1 never run
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 33%
Help pages citing references: 0%

How these are measured

Downloads

3.4K

CRAN downloads in the past year

Rank #14,383 · ~9/day · ~284/mo

Releases R versions

Daily download trend is not available in this view yet.

35030 days

82190 days

3.4K1 year

Compare downloads with other packages →

Also on346 r2u3 autocran664 conda_forge

How downloads are counted

Repository

yonicd/shinyheatmaply ↗Account: yonicd

47Stars

11Forks

6Open issues

1Open PRs

0Releases

146Commits

3Commit identities

146 commits · Last activity 2020-04-03

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 0
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2023-08-08 · 472026-07-07 · 47

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/yonicd/shinyheatmaply on 2026-10-18.

Docs source (1)

GitHub Pages site last deployed 2020-04-03

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing shinyHeatmaply adds 97 packages (47 with compiled code, 90 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 2.3.0heatmaply

Imports (10)

shiny htmltools plotly dplyrstatsxtabletoolsrmarkdownutilsreadxl

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Jonathan Sidi

Author, Maintainer since 0.1.0 (2017)

Tal Galili

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2020-04-06
0.2.0Latest
record
2020-04-06 · current release · diff ↗
archivedRemoved from CRAN
2020-04-03
check problems were not corrected in time Errors in '\donttest' parts of examples
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
0.1.0
record
2017-03-28
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-03-28
Total releases: 2 / 9 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 2.3.0
Download size: 15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("shinyHeatmaply")

Format

Sidi, J., & Galili, T. (2020). shinyHeatmaply: Deploy 'heatmaply' using 'shiny' (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.shinyHeatmaply

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for shinyHeatmaply version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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