ggspavis
Bioc currentVisualization functions for spatial transcriptomics data
Release Lineage
Entered 3.14 · Oct 27, 2021
Current · Requires R 4.6
Description
Visualization functions for spatial transcriptomics data. Includes functions to generate several types of plots, including spot plots, feature (molecule) plots, reduced dimension plots, spot-level quality control (QC) plots, and feature-level QC plots, for datasets from the 10x Genomics Visium and other technological platforms. Datasets are assumed to be in either SpatialExperiment or SingleCellExperiment format.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
12 9 exported
Complexity
12.8 avg / 43 max
Call network
12 nodes / 6 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
2,511
Files
27
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
9
Internal functions
3
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
10
First release
2021-10-26
Latest release
2026-07-14
Avg cadence
182 days
Cold removal rate
–
Dep drift
4
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (4)
Bioconductor (4)
People
- Lukas M. Weber author maintainer
- Helena L. Crowell author
- Yixing E. Dong author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ggspavis")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.