ZarrArray

This is the development version of ZarrArray; for the stable release version, see ZarrArray.

All Bioconductor versions of ZarrArray

Bring Zarr datasets in R as DelayedArray objects

Bioconductor version: 3.24 · Package version: 1.1.7

The ZarrArray package leverages the Rarr package to bring Zarr datasets in R as DelayedArray objects. The main class in the package is the ZarrArray class. A ZarrArray object is an array-like object that represents a Zarr dataset in R. ZarrArray objects are DelayedArray derivatives and therefore support all operations (delayed or block-processed) supported by DelayedArray objects.

Author: Hervé Pagès [aut, cre] ORCID: 0009-0002-8272-4522 , Mike Smith [aut] ORCID: 0000-0002-7800-3848 , Hugo Gruson [aut] ORCID: 0000-0002-4094-1476 , Artür Manukyan [aut] ORCID: 0000-0002-0441-9517 , Levi Waldron [fnd] ORCID: 0000-0003-2725-0694

Maintainer: Hervé Pagès <hpages.on.github at gmail.com>

DOI: 10.18129/B9.bioc.ZarrArray

Citation

From within R, enter citation("ZarrArray"):

Hervé Pagès, Mike Smith, Hugo Gruson, Artür Manukyan. ZarrArray: Bring Zarr datasets in R as DelayedArray objects. doi:10.18129/B9.bioc.ZarrArray, R package version 1.1.7, https://bioconductor.org/packages/ZarrArray.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("ZarrArray")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version	1.1.7
License	Artistic-2.0
URL	https://bioconductor.org/packages/ZarrArray
Bug Reports	https://github.com/Bioconductor/ZarrArray/issues
Last updated	2026-08-19
In Bioconductor since	BioC 3.23 (R-4.6) (less than a year)
Downloads rank	2348 of 2,456
Source branch	devel
Build report	Bioconductor build system, r-universe
biocViews	DataImport, DataRepresentation, Infrastructure, Software
Package Short Url	https://bioconductor.org/packages/ZarrArray/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ZarrArray")

ZarrArray overview	HTML	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Download

Follow the installation instructions to use this package in your R session.

Source package	ZarrArray_1.1.7.tar.gz
Windows binary (x86_64)	ZarrArray_1.1.7.zip
macOS binary (arm64)	ZarrArray_1.1.7.tgz
macOS binary (x86_64)	ZarrArray_1.1.7.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ZarrArray
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ZarrArray
Package Downloads Report	Download Stats

Dependencies

Depends: R (>= 3.4), methods, SparseArray, DelayedArray (>= 0.39.4)

Imports: stats, tools, BiocGenerics (>= 0.59.12), S4Vectors, IRanges, S4Arrays, Rarr (>= 2.1.9)

Suggests: paws.storage, HDF5Array, testthat, anndataR, knitr, rmarkdown, BiocStyle

Reverse dependencies

Imports Me (2): ImageArray, spatialdataR

Suggests Me (3): BiocDuckDB, BiocGenerics, DelayedArray