Skip to main content

Extension to kill kernel on tab closing

Project description

kernel_killer

Github Actions Status Extension to kill kernel on tab closing

This extension is composed of a Python package named kernel_killer for the server extension and a NPM package named kernel_killer for the frontend extension.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install kernel_killer

Uninstall

To remove the extension, execute:

pip uninstall kernel_killer

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the kernel_killer directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable kernel_killer
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

# Server extension must be manually disabled in develop mode
jupyter server extension disable kernel_killer
pip uninstall kernel_killer

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named kernel_killer within that folder.

Packaging the extension

See RELEASE

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kernel_killer-0.1.2.tar.gz (108.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kernel_killer-0.1.2-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file kernel_killer-0.1.2.tar.gz.

File metadata

  • Download URL: kernel_killer-0.1.2.tar.gz
  • Upload date:
  • Size: 108.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for kernel_killer-0.1.2.tar.gz
Algorithm Hash digest
SHA256 cd86a4f432ce0e60b2d0c0509a0da0ee0d4b62934a8618b45972885dc41f79c5
MD5 6c7b10be32a2eac1e01df73adf2d2ab9
BLAKE2b-256 365eb1171acbc36e0fc41b986347ef7529788816a606eb0f29f136500061ac55

See more details on using hashes here.

File details

Details for the file kernel_killer-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: kernel_killer-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for kernel_killer-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fd37b3d254ca2ad2b1b7c374bae7622f2244df94d1c96c500cf3a53917a860c3
MD5 d50ca75d4833f5709020f570913a529a
BLAKE2b-256 e9d55a83fceafcdb675b0eed880cdec68edc98a5a2e2dc8fba1da3d385c95fcd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page