heatmaply 1.0.0 – beautiful interactive cluster heatmaps in R

I’m excited to announce that heatmaply version 1.0.0 has been published to CRAN! (getting started vignette is available here)

What is heatmaply?

heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as well as the ability to zoom in to specific sections of the figure from the data matrix, the side dendrograms, or annotated labels.
The package aims to be compatible with gplots::heatmap.2 so you could take code written for it and just change the heatmap.2 command to be heatmaply, and get the interactive version of the plot (although with slightly different, improved, defaults for colors and dendrogram ordering). Thanks to the synergistic relationship between heatmaply and other R packages, the user is empowered by a refined control over the statistical and visual aspects of the heatmap layout.

What makes heatmaply great?

The change from version 0.16.0 to version 1.0.0 is to indicate the maturity of the package. It is to reflect the following facts:

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heatmaply: interactive heat maps (with R)

I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package.


By running the following 3 lines of code:

heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40))

You will get this output in your browser (or RStudio console):

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