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iheatmapr

Free#74 of 98 in Data Visualization Software

iheatmapr: A focused R package for interactive heatmaps with annotations, clustering, and linked plots. Ranked #74 of 98 in Data Visualization Software by our editors (3.0/10); pricing: Free plan; best for R users building annotated interactive heatmaps.

3.0/10Editor score

Visit rOpenSci

iheatmapr3.0 Visit rOpenSci

At a glance

Editor score
3.0 / 10
Pricing
Free plan
Best for
R users building annotated interactive heatmaps
Free plan
Yes
Paid from
Free
Embedded dashboards
No
Facts checked
23 Sep 2026

Where it wins
- Combines a main heatmap with surrounding plots and annotations.
- Supports hierarchical or k-means clustering of rows and columns.
- Renders in R Markdown, Shiny, interactive R sessions, and standalone HTML.
Where it doesn't
- Focused on interactive heatmaps rather than broad visualization types.
- Requires working in R rather than a hosted dashboard service.
- Does not provide scheduled refresh or embedding.

Our verdict on iheatmapr

iheatmapr is an open-source R package for creating interactive heatmaps from matrices. It is aimed at R users who need more than a basic heatmap, especially when related data, row or column annotations, and clustering belong in one view. Users can build composite layouts by adding subplots around a main heatmap, scale values by rows or columns, and show cell tooltips with row, column, and value information. It is a focused visualization package, not a hosted dashboard service, so it suits analytical work built around R rather than teams seeking a separate dashboard workspace.

Its depth is concentrated in matrix heatmaps. Hierarchical or k-means clustering can be applied to rows and columns, and aligned plots can share linked zooming. Composite layouts let users place related plots around the heatmap, while annotations add context to rows and columns. These capabilities make iheatmapr a fit when the relationship between matrix values, groupings, and associated plots is central to the analysis. For general-purpose dashboards or a wider range of chart types, a broader visualization tool is likely a better match.

The package uses Plotly.js for interactive figures and htmlwidgets to render them in R. Visualizations can appear in interactive R sessions, R Markdown documents, Shiny applications, or standalone HTML files, giving R-based projects several output contexts. This makes it a practical option for researchers and developers already working within those formats. It is not positioned as a hosted service, and its listed category capabilities do not include scheduled refresh or embedding. Choose iheatmapr for annotated, interactive matrix analysis in R; look elsewhere if you need a managed dashboard product or visualization breadth beyond heatmaps.

Your product? Our editors can test iheatmapr in depth and publish a review, labelled as paid · from $149/mo →

iheatmapr pricing

Plans Free planFree Free to use — no paid tier required for the core job.

See plans on docs.ropensci.org

iheatmapr fact sheet

Free plan	Yes
Paid from	Free
Dashboard type	Interactive
Scheduled refresh	No
Embedded dashboards	No
Data sources	Not verified
Viewer limit	Not verified
Platform	Desktop
Deployment	Desktop
Platforms	Windows, macOS, Linux
Built for	Solo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations	3 integrations: Plotly.js, R Markdown, Shiny
Pricing	Free plan
Website	docs.ropensci.org
Facts checked	23 Sep 2026

iheatmapr integrations

iheatmapr lists 3 integrations on its own site.

Plotly.js
R Markdown
Shiny

Alternatives to iheatmapr

See all iheatmapr alternatives →

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Featured on iTechGuides

iheatmapr is listed in our Data Visualization Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update