ZarrArray
Bioc currentBring Zarr datasets in R as DelayedArray objects
Release Lineage
Entered 3.23 · Apr 29, 2026
Current · Requires R 4.6
Description
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.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
33 12 exported
Complexity
2.9 avg / 10 max
Call network
33 nodes / 36 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
1,931
Files
23
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
12
Internal functions
20
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.58
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
10%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.4
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-04-28
Latest release
2026-04-28
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 75%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (3)
Bioconductor (3)
People
- Hervé Pagès author maintainer
- Hugo Gruson author
- Artür Manukyan author
- Mike Smith author
- Levi Waldron fnd