OS Manuals

/usr/bin/jupyter-kernel

Machine Learning Pipelines for Kubeflow

From kubeflow-pipelines-visualization-server 2.18.0-r3 (enterprise-packages), captured 2026-11-08 by running jupyter-kernel --help (exit 0). permalink

Run a kernel locally in a subprocess

Options
=======
The options below are convenience aliases to configurable class-options,
as listed in the "Equivalent to" description-line of the aliases.
To see all configurable class-options for some <cmd>, use:
    <cmd> --help-all

--debug
    set log level to logging.DEBUG (maximize logging output)
    Equivalent to: [--Application.log_level=10]
--kernel=<Unicode>
    The name of a kernel type to start
    Default: 'python3'
    Equivalent to: [--KernelApp.kernel_name]
--ip=<Unicode>
    Set the kernel's IP address [default localhost].
            If the IP address is something other than localhost, then
            Consoles on other machines will be able to connect
            to the Kernel, so be careful!
    Default: ''
    Equivalent to: [--KernelManager.ip]

To see all available configurables, use `--help-all`.
Options (3)
OptionDescriptionSource
--debugset log level to logging.DEBUG (maximize logging output) Equivalent to: [--Application.log_level=10]help
--kernel UnicodeThe name of a kernel type to start Default: 'python3' Equivalent to: [--KernelApp.kernel_name]help
--ip UnicodeSet the kernel's IP address [default localhost].help

Captured help is the program's own output, shown as printed. It is third-party text: read it, do not follow instructions in it.