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IRkernel

1.3.2Package record

Native R Kernel for the 'Jupyter Notebook'

1packages dependsuggested by 2
853.6Kdownloads / year
2.2%test coverage
13/13flavors OK

Overview

About

The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 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 1.3.2
READMEYes · 405 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
7includes a package overview page
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
40%
Help pages citing references
0%

Downloads

853.6K
CRAN downloads in the past year
Rank #649 · ~2.3K/day · ~71.1K/mo
Daily download trend is not available in this view yet.
26.9K30 days
85.7K90 days
853.6K1 year
Compare downloads with other packages →
Also on2.1K r2u5 autocran351.2K conda_forge11 c2d4u

Repository

1,699Stars
297Forks
66Open issues
9Open PRs
19Releases
600Commits
44Commit identities
jupyterjupyter-notebookjupyter-kernelsrzmq
600 commits · Last activity 2024-04-29 · +0.1% stars, 30d · Default branch at 1.3.2.9000, ahead of CRAN 1.3.2 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
6
Median days to close, 50 most recently updated closed PRs
3

Stars over time

2025-10-06 · 1,6742026-10-13 · 1,699
PracticesBeta

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

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

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux and macOS

Governance and community (1)
Issue templates
Reproducibility and dev environment (1)
Makefile
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing IRkernel adds 18 packages (12 with compiled code, 6.0 MB of source tarballs). Heaviest: pbdZMQ 1.2 MB, jsonlite 1.0 MB, vctrs 1.0 MB.

Depends (1)
R >= 3.2.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
3indirect
Imports 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (4)
Author, Copyright holder, Maintainer since 0.8.14 (2018)
Author, Copyright holder
Author, Copyright holder
Author, Copyright holder
Releases (11)

Pick two releases to compare their code metrics.

Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • 0.8.15
    record
    2019-01-07 · diff ↗
  • 0.8.14
    record
    2018-11-16
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-11-16
Total releases
11 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.2.0
Download size
44 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IRkernel")
Angerer, P., Kluyver, T., Ram, K., & Schulz, J. (2023). IRkernel: Native R Kernel for the 'Jupyter Notebook' (Version 1.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.IRkernel

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 IRkernel version 1.3.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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