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-0.7.0a2106301.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab_nvdashboard-0.7.0a2106301.tar.gz.

File metadata

  • Download URL: jupyterlab_nvdashboard-0.7.0a2106301.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a2106301.tar.gz
Algorithm Hash digest
SHA256 b9de58874fe994b52d0548f37e768b01c218db27a333d679bfba7427638b7f59
MD5 79444bc126f81d1c6c999d79ea0a2a7e
BLAKE2b-256 2cc2a14900f31711365fbad2a421fdd16b499360a72fcd21f027bbe69c5cdd01

See more details on using hashes here.

Provenance

File details

Details for the file jupyterlab_nvdashboard-0.7.0a2106301-py3-none-any.whl.

File metadata

  • Download URL: jupyterlab_nvdashboard-0.7.0a2106301-py3-none-any.whl
  • Upload date:
  • Size: 35.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for jupyterlab_nvdashboard-0.7.0a2106301-py3-none-any.whl
Algorithm Hash digest
SHA256 488d953d0d967f748963d12ef37964b6c3c616f7837dfbd31ed8198e1513480c
MD5 81e80256a3ad005daa5e07548e1a33d6
BLAKE2b-256 4201f42fb876efb7929bbff63cf38aa53bc561b559545e9694bf3a7326368de6

See more details on using hashes here.

Provenance

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