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ondisc

1.3.5Package record

Algorithms and Data Structures for Large Single-Cell Expression Matrices

0packages depend
1.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Single-cell datasets are growing in size, posing challenges as well as opportunities for genomics researchers. 'ondisc' is an R package that facilitates analysis of large-scale single-cell data out-of-core on a laptop or distributed across tens to hundreds of processors on a cluster or cloud. In both of these settings, 'ondisc' requires only a few gigabytes of memory, even if the input data are tens of gigabytes in size. 'ondisc' mainly is oriented toward single-cell CRISPR screen analysis, but also can be used for single-cell differential expression and single-cell co-expression analyses. 'ondisc' is powered by several new, efficient algorithms for manipulating and querying large, sparse expression matrices.

Install

Health

CRAN checks
13OK
Slowest check: 22.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-25
  • ERROR12 OK, 1 ERROR2026-09-18
  • OK13 OK2026-08-26
  • ERROR12 OK, 1 ERROR2026-08-22
  • OK13 OK2026-08-20
Show 16 earlier changesHide 16 earlier changes
  • ERROR12 OK, 1 ERROR2026-08-12
  • OK13 OK2026-08-08
  • ERROR12 OK, 1 ERROR2026-08-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-03
  • ERROR12 OK, 1 ERROR2026-08-02
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-30
  • NOTE12 OK, 1 NOTE2026-07-29
  • OK13 OK2026-07-26
  • ERROR12 OK, 1 ERROR2026-07-19
  • OK13 OK2026-07-08
  • ERROR12 OK, 1 ERROR2026-07-05
  • OK13 OK2026-06-25
  • ERROR11 OK, 1 ERROR2026-06-24
  • OK7 OK2026-06-18
Advisories

none known

Documentation

In release 1.3.5
READMEYes · 165 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 1.3.5Citation fileNoWebsiteYes · pkgdown
Help pages
8includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

1.8K
CRAN downloads in the past year
Rank #7,391 · ~5/day · ~152/mo
Daily download trend is not available in this view yet.
42230 days
1.2K90 days
1.8K1 year
Compare downloads with other packages →
Also on387 r2u

Repository

12Stars
6Forks
1Open issues
1Open PRs
2Releases
338Commits
10Commit identities
338 commits · Last activity 2026-07-31 · +9.1% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
83%
Median days to close, 50 most recently updated closed issues
16
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-03-20 · 102026-10-15 · 12
PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/timothy-barry/ondisc on 2026-10-21.

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-31

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

An outside contributor's pull request to this repository was written with an AI coding tool.

From outside contributors
  • Claude Code
    Pull requests: 1 from outside contributors, first on 2025-06-20, 1 from forks
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing ondisc adds 28 packages (16 with compiled code, 15 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, vctrs 1.0 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 4.1.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2021)
Author, Thesis advisor
Contributor · added in 1.3.5
Contributor · added in 1.3.5
Listed in earlier versions (1)
no longer listed · 1.0.0
Releases (2)

Pick two releases to compare their code metrics.

  • unarchivedReturned to CRAN
    2026-06-17
  • 1.3.5Latest
    record
    2026-06-17 · current release · diff ↗ ·
    removed 9 exports
    create_ondisc_matrix_from_mtx, get_cell_barcodes, get_feature_ids, get_feature_names, metadata_ondisc_matrix, multimodal_ondisc_matrix, ncol, nrow, ondisc_matrix
    added 4 exports
    create_odm_from_cellranger, create_odm_from_r_matrix, initialize_odm_from_backing_file, write_example_cellranger_dataset
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-02-02
    issues were not corrected in time
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2021-03-05
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-05
Total releases
2 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
251 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ondisc")
Barry, T., Dai, S., Katsevich, E., & Qiu, Y. (2026). ondisc: Algorithms and Data Structures for Large Single-Cell Expression Matrices (Version 1.3.5) [Computer software]. https://doi.org/10.32614/CRAN.package.ondisc

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ondisc version 1.3.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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