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-0.7.0a22051031.tar.gz (27.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab_nvdashboard-0.7.0a22051031.tar.gz.

File metadata

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a22051031.tar.gz
Algorithm Hash digest
SHA256 32579d5e3411bda092b6a2beadcc52d0fd3982fcf8f77a69901281f03660b951
MD5 543556afb813f990a4795260309538e8
BLAKE2b-256 68670a61dcba2f188627a821b1868286be71de0887a123faec2706759db8fac5

See more details on using hashes here.

File details

Details for the file jupyterlab_nvdashboard-0.7.0a22051031-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a22051031-py3-none-any.whl
Algorithm Hash digest
SHA256 8aec37d2d32e6ae2d7d39a5989af7a3ca70bcd6be9081c1760ff81453bf3e9ca
MD5 6e0842dda5fae42ed9f9241cd879dc82
BLAKE2b-256 6fa06fed94f6778649b4481b6f8aad11483f146902845e87516787a7a2dafc7d

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