# kernelspec - discovering kernels

See also

Kernel specs

class jupyter_client.kernelspec.KernelSpec
  argv

    The list of arguments to start this kernel.

  env

    A dictionary of extra environment variables to declare, in addition to the current environment variables, when launching this kernel.

  display_name

    The name to display for this kernel in UI.

  language

    The name of the language the kernel implements, to help with picking appropriate kernels when loading notebooks.

  metadata

    Additional kernel-specific metadata; clients can use this as needed, for instance to aid in kernel selection and filtering.

    Metadata added here should be namespaced for the tool reading and writing that metadata. Concretely, if you’re adding a new field called `supported_versions` which your tool recognizes, then you should add it as `"mytool": {"supported_versions": [1, 2]}`, not as a top-level field called `supported_versions`.

  resource_dir

    The path to the directory with this kernel’s resources, such as icons.

class jupyter_client.kernelspec.KernelSpecManager

exception jupyter_client.kernelspec.NoSuchKernel
  name

    The name of the kernel which was requested.

jupyter_client.kernelspec.find_kernel_specs()
jupyter_client.kernelspec.get_kernel_spec(kernel_name)
jupyter_client.kernelspec.install_kernel_spec(source_dir, kernel_name=None, user=False, replace=False)

  These methods from `KernelSpecManager` are exposed as functions on the module as well; they will use all the default settings.