Package: reglScatterplotR 0.99.6

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_0.99.6.tar.gz
reglScatterplotR_0.99.6.zip(r-4.7-any)reglScatterplotR_0.99.6.zip(r-4.6-any)reglScatterplotR_0.99.6.zip(r-4.5-any)
reglScatterplotR_0.99.6.tgz(r-4.6-any)reglScatterplotR_0.99.6.tgz(r-4.5-any)
reglScatterplotR_0.99.6.tar.gz(r-4.7-any)reglScatterplotR_0.99.6.tar.gz(r-4.6-any)
reglScatterplotR_0.99.6.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://bioc.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

Conda:

softwarevisualizationsinglecellspatialgeneexpressiontranscriptomicsdimensionreductionshinyapps

3.95 score 1 stars 4 scripts 6 exports 58 dependencies

Last updated from:c6604bce07. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE184
linux-develOK414
source / vignettesOK430
linux-releaseOK285
macos-releaseOK290
macos-oldrelOK155
windows-develOK209
windows-releaseOK208
windows-oldrelOK212
wasm-releaseOK136

Exports:enableReglScatterplotSyncreglScatterplotreglScatterplotOutputrenderReglScatterplottoBase64updateReglPointSize

Dependencies:abindbase64encBiobaseBiocGenericsbslibcachemclicommonmarkDelayedArraydigestevaluatefastmapfontawesomefsgenericsGenomicRangesgluehighrhtmltoolshtmlwidgetshttpuvIRangesjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS4ArraysS4VectorssassSeqinfoshinySingleCellExperimentsourcetoolsSparseArraySummarizedExperimenttinytexviridisLitewithrxfunxtableXVectoryaml

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: 2026-10-21
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