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IRdisplay

1.1Package record

'Jupyter' Display Machinery

4packages dependsuggested by 8
827.5Kdownloads / year
67.5%test coverage
13/13flavors OK

Overview

About

An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') https://jupyter.org. Designed to be used from a running 'IRkernel' session https://irkernel.github.io.

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1
READMEYes · 136 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
5
Examples that run
25%1 run in a plain check · 3 never run
Exported functions with examples
80%
Documented parameters
94%
Return-value docs
20%
Help pages citing references
0%

Downloads

827.5K
CRAN downloads in the past year
Rank #474 · ~2.3K/day · ~69K/mo
Daily download trend is not available in this view yet.
29.9K30 days
160.4K90 days
827.5K1 year
Compare downloads with other packages →
Also on3.3K r2u1 autocran353.7K conda_forge135 c2d4u

Repository

48Stars
13Forks
6Open issues
0Open PRs
7Releases
113Commits
5Commit identities
113 commits · Last activity 2023-03-06 · 0% stars, 30d · Default branch at 1.1.0.9000, ahead of CRAN 1.1 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
82%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-08-06 · 472026-09-14 · 48
PracticesBeta

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

Checks run against github.com/irkernel/irdisplay on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing IRdisplay adds 13 packages (10 with compiled code, 4.7 MB of source tarballs). Heaviest: jsonlite 1.0 MB, vctrs 1.0 MB, rlang 766 KB.

Depends (1)
R >= 3.0.1
Imports (2)
methodsrepr
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
4direct
5indirect
Imports 4
Suggested by 8
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (3)
Author, Copyright holder, Maintainer since 0.4.4 (2016)
Author, Copyright holder
Author, Copyright holder
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 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
  • 1.1Latest
    record
    2022-01-04 · current release · diff ↗ ·
    added 1 export
    clear_output
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0
    record
    2021-01-20 · diff ↗ ·
    added 1 export
    display_text
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.7.0
    record
    2018-11-29 · diff ↗
  • 0.6.3
    record
    2018-11-27 · diff ↗
  • 0.6.1
    record
    2018-11-11 · diff ↗
  • 0.6
    record
    2018-09-24 · diff ↗
  • 0.5.0
    record
    2018-05-17 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 3 earlier eventsHide 3 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • 0.4.4
    record
    2016-08-02
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-08-02
Total releases
8 / 10 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.0.1
Download size
8.1 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IRdisplay")
Angerer, P., Kluyver, T., & Schulz, J. (2022). IRdisplay: 'Jupyter' Display Machinery (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.IRdisplay

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 IRdisplay version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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