heatmaply
1.6.0Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Overview
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'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 29%
- Documented parameters
- 86%
- Return-value docs
- 67%
- References docs
- 10%
Downloads
Repository
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Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/talgalili/heatmaply on 2026-08-09.
Dependencies
Code & Tests
People & History
25 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.6.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.5.02023-10-06 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.4.22023-01-07 · diff ↗
- 1.4.02022-10-08 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.3.02021-10-09 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.2.12021-02-02 · diff ↗
- 1.2.02021-01-29 · diff ↗
- 1.1.12020-08-25 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.1.02020-03-28 · diff ↗
Show 20 earlier events
- 1.0.02019-12-05 · diff ↗
- 0.16.02019-05-12 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.15.22018-07-06 · diff ↗
- 0.15.02018-06-23 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.14.12018-02-01 · diff ↗
- 0.14.02018-01-20 · diff ↗
- 0.13.02017-11-13 · diff ↗
- 0.12.12017-10-26 · diff ↗
- 0.11.12017-09-27 · diff ↗
- 0.10.12017-05-27 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.9.12017-04-14 · diff ↗
- 0.8.22017-03-21 · diff ↗
- 0.7.02017-01-22 · diff ↗
- 0.6.02016-11-06 · diff ↗
- 0.5.02016-08-27 · diff ↗
- 0.3.22016-05-26
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-05-26
- Total releases
- 25 / 10 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 1.8 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("heatmaply")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.