Skip to main content

A JupyterLab extension for displaying GPU usage dashboards

Project description

jupyterlab_nvdashboard

Github Actions Status

A JupyterLab extension for displaying GPU usage dashboards

This extension is composed of a Python package named jupyterlab_nvdashboard for the server extension and a NPM package named jupyterlab-nvdashboard for the frontend extension.

Requirements

  • JupyterLab >= 3.0

Install

pip install jupyterlab_nvdashboard

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 jupyterlab_nvdashboard directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run 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 run 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 run 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

Uninstall

pip uninstall jupyterlab_nvdashboard

Releases for both packages are handled by gpuCI. Nightly builds are triggered when a push to a versioned branch occurs (i.e. branch-0.5). Stable builds are triggered when a push to the main branch occurs.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

jupyterlab_nvdashboard-0.7.0a22051025.tar.gz (27.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab_nvdashboard-0.7.0a22051025.tar.gz.

File metadata

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a22051025.tar.gz
Algorithm Hash digest
SHA256 b8a5b3928fdc1d3ddef7a7cbc728cd85bf528ada35bf10032d73d68e88b30734
MD5 f57901d57a6581866d7fd32d2562422b
BLAKE2b-256 1da664af78e7152e1c5877238350b741a36994ca922c6e6e46d5fff733b43a31

See more details on using hashes here.

File details

Details for the file jupyterlab_nvdashboard-0.7.0a22051025-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a22051025-py3-none-any.whl
Algorithm Hash digest
SHA256 a8df553fb62c8cdc3def76d0322f3af747478f4ac5b17f4e77ce6ddcc823d4b9
MD5 e5119d6d2544791ff8a22170ba735c98
BLAKE2b-256 1ced2e683d83daa7c8545c4b68d39c51152c0122b23d21b59d1531991cd494d0

See more details on using hashes here.

Supported by

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