R Observatory
Search
install.packages("heatmaply")
CRAN 30-day downloads, method
8,198−6.2% down on the 30 days before, the worse direction
Test coverage, method
92%of lines run by tests

Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom.

Full description

Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' to 'heatmap.2' with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'.

Maintainer
Tal Galili
Latest release
12 Jul 2025
First release
26 May 2016

Compare with another package

More details
Releases
25
Needs compilation
No
Needs R
>= 3.0.0
Date
2025-07-12
RoxygenNote
7.3.2
Task views (1)
Subjects (1) Method, Subjects
Cite

Package

Run in R for the authors' entry:

citation("heatmaply")

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

It points to 10.1093/bioinformatics/btx657.

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 heatmaply version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-28, which the citation names so these numbers can be found later.

All 13 check platforms pass.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

    OK

    Version checked
    1.6.0
    Time taken
    324 s
  • r-devel-linux-x86_64-debian-gcc

    The unreleased R on Linux, x86_64, debian-gcc

    OK

    Version checked
    1.6.0
    Time taken
    230 s
  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

    OK

    Version checked
    1.6.0
    Time taken
    233 s
  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

    OK

    Version checked
    1.6.0
    Time taken
    216 s
  • r-devel-windows-x86_64

    The unreleased R on Windows, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    299 s
  • r-oldrel-macos-arm64

    The previous release of R on macOS, arm64

    OK

    Version checked
    1.6.0
  • r-oldrel-macos-x86_64

    The previous release of R on macOS, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    212 s
  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    402 s
  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    310 s
  • r-release-linux-x86_64

    The current release of R on Linux, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    313 s
  • r-release-macos-arm64

    The current release of R on macOS, arm64

    OK

    Version checked
    1.6.0
    Time taken
    84 s
  • r-release-macos-x86_64

    The current release of R on macOS, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    374 s
  • r-release-windows-x86_64

    The current release of R on Windows, x86_64

    OK

    Version checked
    1.6.0
    Time taken
    283 s
  • 13 OK

Over time

No change since 5 Aug 2026

As a list (6)
ChangedWorst statusOKNotesWarningsErrors
5 Aug 2026OK13000
1 Aug 2026Note12100
9 Jun 2026OK13000
8 Jun 2026Error12001
25 Apr 2026OK12000
10 Mar 2026Note11300

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
10,282+7.4% up on the 30 days before, the better directionIt is the sum of 5 channels: CRAN, r2u, autoCRAN, conda-forge and c2d4u.

CRAN rank

1,253 of 26,530

CRAN

8,198 downloads in the last 30 days

Rank
1,253 of 26,530
Change
−6.2% down on the 30 days before, the worse direction

It is in the total. Take it out

r2u

796 downloads in the last 30 days

Rank
923 of 30,526
Change
+374% up on the 30 days before, the better direction

It is in the total. Take it out

autoCRAN

6 downloads in the last 30 days

Rank
8,234 of 29,212
Change
−50% down on the 30 days before, the worse direction

It is in the total. Take it out

conda-forge

1,260 downloads in the last 30 days

Rank
888 of 3,828
Change
+100% up on the 30 days before, the better direction

It is in the total. Take it out

c2d4u, no longer updated

22 downloads in the last 30 days

Rank
823 of 7,575
Change
−26.7% down on the 30 days before, the worse direction

It is in the total. Take it out

Over time

Compare downloads

Needs
18
Dependent packages
9
Suggested by
6
Needs (18)
Installing it adds
84 packages, 81.1 MB of source
Of those, need compilation
43
Optional extras (6)
Dependent packages (9)
PackageTitleDownloads in 30 days
wilsonWeb-Based Interactive Omics Visualization929
latentcorFast Computation of Latent Correlations for Mixed Data907
BayesianNetworkBayesian Network Modeling and Analysis499
rnmamodBayesian Network Meta-Analysis with Missing Participants380
CALANGOComparative Analysis with Annotation-Based Genomic Components343
richClusterFast, Robust Clustering Algorithms for Gene Enrichment Data337
inDAGOA GUI for Dual and Bulk RNA-Sequencing Analysis321
shinyHeatmaplyDeploy 'heatmaply' using 'shiny'317
neatmapsHeatmaps for Multiple Network Data293
Functions
50
Public exports
38
Lines of R code
3,911
Median complexity
1
Functions (50)
Size and composition

Lines by kind (6,546)

KindLinesShare
R code3,91160%
Tests66610%
Documentation1,26119%
Guides70811%

Lines by language

LanguageLinesShare
R4,57770%
Rd1,26119%
Vignettes70811%

Languages are counted from file extensions.

Files
40
R functions
50
Object systems
S3: 8 methods
Complexity
Median
1
Mean
6.16
Highest
66
Median lines per function
10
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
50
Calls
38
Unconnected
8
Groups
6
Growth (25 releases)
Total lines by release
1,412 on 26 May 20166,546 on 12 Jul 2025
Release changes

The tests ran and coverage was measured.

Lines run by tests
91.7%
Expressions run by tests
88.8%
Test cases
65
Exports named in tests
97.4%
Coverage by file (9)
Coverage run
Lines counted
1,503
Lines the tests ran
1,378
Tests passed
Yes
Measured with
covr 3.6.5 on R 4.6.1
Test suite
Has tests
Yes
Test frameworks
testthat
Test cases
65
Lines of tests
666
Test lines per line of code
0.17
Exports documented
100%
Arguments documented
85.9%
Return value documented
66.7%
Help pages with examples
70%
Examples run in checks
14.3%
Guides (1)
Other documentation
README
Yes, 895 words
Release notes file
Yes
Help pages
10
Lines of documentation
1,261
Earlier names (1)
  • Alan Ocallaghan

talgalili / heatmaply on github.com

Stars
411+0.24% up on 30 days ago, the better direction
Forks
74
Open issues
38
Last commit
12 Jul 2025
Activity
Commits
613
Open pull requests
1
Tagged releases
1
Latest tagged release
1.6.0, 12 Jul 2025
Issues closed in
2 days (median)
Pull requests closed in
2 days (median)
Pull requests merged
80%
Created
14 May 2016
Licence file reads as
–
Development practices (11)
KindFound
Continuous integrationGitHub Actions, R CMD check workflow, Travis CI (config file)
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Governance and communityCode of conduct, Issue templates
Docs sourceGitHub Pages site last deployed 2025-07-12
The repository has a site deploy workflow
CoverageCoverage reporting
Reproducibility and dev environmentMakefile
Lint, format, editorLint workflow, RStudio project

Method, repository practices

Across talgalili

Tools

ToolFirst seenFound
GitHub Copilot29 Nov 2025Pull request: opened by its own account
  • Pull request

Across talgalili

R releases
  • On CRAN
  • Release
VersionReleasedR
1.6.0 current12 Jul 20254.5.1
1.5.06 Oct 20234.3.1
1.4.27 Jan 20234.2.2
1.4.08 Oct 20224.2.1
1.3.09 Oct 20214.1.1
1.2.12 Feb 20214.0.3
1.2.029 Jan 20214.0.3
1.1.125 Aug 20204.0.2
Earlier versions (17)
VersionReleasedR
1.1.028 Mar 20203.6.3
1.0.05 Dec 20193.6.1
0.16.012 May 20193.6.0
0.15.26 Jul 20183.5.0
0.15.023 Jun 20183.5.0
0.14.11 Feb 20183.4.3
0.14.020 Jan 20183.4.3
0.13.013 Nov 20173.4.2
0.12.126 Oct 20173.4.2
0.11.127 Sep 20173.4.1
0.10.127 May 20173.4.0
0.9.114 Apr 20173.3.3
0.8.221 Mar 20173.3.3
0.7.022 Jan 20173.3.2
0.6.06 Nov 20163.3.2
0.5.027 Aug 20163.3.1
0.3.226 May 20163.3.0
Release notes (1.6.0)

NEW FEATURE

  • Hide row dendrogram axis ticks for plotly by @siddharthab in https://github.com/talgalili/heatmaply/pull/307
  • Add option suppress_default_hovertext for plot_method = "ggplot" by @mcsimenc in https://github.com/talgalili/heatmaply/pull/301

TESTS

  • Get tests to be compatible with ggplot 4.0.0.