The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

IRkernel: Native R Kernel for the 'Jupyter Notebook'

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.

Version: 1.3.2
Depends: R (≥ 3.2.0)
Imports: repr (≥ 0.4.99), methods, evaluate (≥ 0.10), IRdisplay (≥ 0.3.0.9999), pbdZMQ (≥ 0.2-1), crayon, jsonlite (≥ 0.9.6), uuid, digest
Suggests: testthat, roxygen2
Published: 2023-01-20
Author: Thomas Kluyver [aut, cph], Philipp Angerer ORCID iD [aut, cph, cre], Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer at gmail.com>
BugReports: https://github.com/IRkernel/IRkernel/issues/
License: MIT + file LICENSE
URL: https://irkernel.github.io
NeedsCompilation: no
SystemRequirements: jupyter, jupyter_kernel_test (Python package for testing)
Materials: README
CRAN checks: IRkernel results

Documentation:

Reference manual: IRkernel.pdf

Downloads:

Package source: IRkernel_1.3.2.tar.gz
Windows binaries: r-devel: IRkernel_1.3.2.zip, r-release: IRkernel_1.3.2.zip, r-oldrel: IRkernel_1.3.2.zip
macOS binaries: r-release (arm64): IRkernel_1.3.2.tgz, r-oldrel (arm64): IRkernel_1.3.2.tgz, r-release (x86_64): IRkernel_1.3.2.tgz, r-oldrel (x86_64): IRkernel_1.3.2.tgz
Old sources: IRkernel archive

Reverse dependencies:

Reverse imports: RCy3, rpymat
Reverse suggests: ottr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IRkernel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.