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-0.7.0a2106161.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab_nvdashboard-0.7.0a2106161.tar.gz.

File metadata

  • Download URL: jupyterlab_nvdashboard-0.7.0a2106161.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 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-0.7.0a2106161.tar.gz
Algorithm Hash digest
SHA256 06a865ecd37139d01d7635cb27b28a3c4c9db67bdc160cf3aa7ae013aaaddcd8
MD5 32037cb45d5ccc39410cbb36136f629c
BLAKE2b-256 746783ae45c6ae5fc30c2463ae7bc32447ac540a7f4b051402b4649ad24dc90d

See more details on using hashes here.

Provenance

File details

Details for the file jupyterlab_nvdashboard-0.7.0a2106161-py3-none-any.whl.

File metadata

  • Download URL: jupyterlab_nvdashboard-0.7.0a2106161-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/4.5.0 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-0.7.0a2106161-py3-none-any.whl
Algorithm Hash digest
SHA256 8426a5ce52779d621237d7357df8985813cb31ff518aebddf5649809c3ebb700
MD5 4447f1f5458c245b5fbc91ad12be45ee
BLAKE2b-256 bb351c685347bd8bc083fe08340c12849c2954ffb07b1f3242d5421a463da70f

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