Package: reglScatterplotR 0.99.3

George Muñoz

reglScatterplotR: Interactive WebGL Scatterplots for Biological Data Exploration

Lightweight 'htmlwidgets' interface to the JavaScript 'regl-scatterplot' library, rendering millions of two-dimensional points in the browser via WebGL. Designed for exploratory visualisation of single-cell, spatial transcriptomics and other high-dimensional biological data. Features include synchronised pan/zoom across multiple plots, categorical and continuous colour mapping, lasso selection, range and category filtering, PNG/SVG/PDF export, and Shiny integration. The widget works in the 'RStudio' Viewer, standalone HTML files, Shiny applications and Jupyter notebooks running the 'IRkernel'.

Authors:George Muñoz [aut, cre]

reglScatterplotR_0.99.3.tar.gz
reglScatterplotR_0.99.3.zip(r-4.7-any)reglScatterplotR_0.99.3.zip(r-4.6-any)reglScatterplotR_0.99.3.zip(r-4.5-any)
reglScatterplotR_0.99.3.tgz(r-4.6-any)reglScatterplotR_0.99.3.tgz(r-4.5-any)
reglScatterplotR_0.99.3.tar.gz(r-4.7-any)reglScatterplotR_0.99.3.tar.gz(r-4.6-any)
reglScatterplotR_0.99.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
reglScatterplotR/json (API)

# Install 'reglScatterplotR' in R:
install.packages('reglScatterplotR', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/george123ya/reglscatterplotr/issues

Datasets:

On CRAN:

Conda:

softwarevisualizationsinglecellspatialgeneexpressiontranscriptomicsdimensionreductionshinyapps

4.08 score 15 scripts 6 exports 40 dependencies

Last updated from:51bdccac75. Checks:1 WARNING, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING170
linux-develOK136
source / vignettesOK206
linux-releaseOK181
macos-releaseOK134
macos-oldrelOK121
windows-develOK101
windows-releaseOK92
windows-oldrelOK87
wasm-releaseOK131

Exports:enableReglScatterplotSyncreglScatterplotreglScatterplotOutputrenderReglScatterplottoBase64updateReglPointSize

Dependencies:base64encbslibcachemclicommonmarkdigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownsassshinysourcetoolstinytexviridisLitewithrxfunxtableyaml

Interactive WebGL Scatterplots with reglScatterplot
Introduction | Installation | A first plot | Categorical colour mapping | Continuous colour mapping | Working with Bioconductor data structures | Linking plots in Shiny | Network requirements | Session info
Rendered fromreglScatterplot.Rmdusingknitr::knitr

Last update: 2026-05-26
Started: 2026-05-25

Scaling reglScatterplot to millions of points
What works at what scale | How the wire format works | A benchmark you can run yourself | Sizing inside the host viewport | Memory levers for very large data | Comparison with other R packages | Where the next jump comes from | Session info
Rendered fromperformance.Rmdusingknitr::knitr

Last update: 2026-05-26
Started: 2026-05-25