Skip to main content

A JupyterLab extension for displaying dashboards of GPU usage.

Project description

JupyterLab GPU Dashboards

PyPI npm

A JupyterLab extension for displaying dashboards of GPU usage.

demo

Built with JupyterLab and Bokeh Server

What's here

This repository contains two sets of code:

  • Python code defining a Bokeh Server application that generates the dashboards in the jupyterlab_nvdashboard/ directory
  • TypeScript code integrating these dashboards into JupyterLab in the src/ directory

You should be able to modify only the Python code to edit the dashboards without modifying the TypeScript code.

Prerequisites

  • JupyterLab 1.0
  • bokeh
  • pynvml

Installation

This extension has a server-side (Python) and a client-side (Typescript) component, and we must install both in order for it to work.

Note: Currently nvdashboard does not support Windows

To install the server-side component, run the following in your terminal

pip install jupyterlab-nvdashboard

To install the client-side component, run

jupyter labextension install jupyterlab-nvdashboard

Development

To install the server-side part, run the following in your terminal from the repository directory:

pip install -e .

In order to install the client-side component (requires node version 8 or later), run the following in the repository directory:

jlpm install
jlpm run build
jupyter labextension install .

To rebuild the package and the JupyterLab app:

jlpm run build
jupyter lab build

Publishing

This application is distributed as two subpackages.

The JupyterLab frontend part is published to npm, and the server-side part to both PyPI and Anaconda (nightlies).

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-0.6.0a210504.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab-nvdashboard-0.6.0a210504.tar.gz.

File metadata

  • Download URL: jupyterlab-nvdashboard-0.6.0a210504.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for jupyterlab-nvdashboard-0.6.0a210504.tar.gz
Algorithm Hash digest
SHA256 287ee69bb8f0344bf5cdcc186a5871dda8ce6de1d95f187222953d9a47405f69
MD5 37ea0f8bad34b4667510d07324eda631
BLAKE2b-256 5ece250311da537a6df27c43177c36657a64bfe96c131c2f10040f8848401659

See more details on using hashes here.

Provenance

File details

Details for the file jupyterlab_nvdashboard-0.6.0a210504-py3-none-any.whl.

File metadata

  • Download URL: jupyterlab_nvdashboard-0.6.0a210504-py3-none-any.whl
  • Upload date:
  • Size: 10.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for jupyterlab_nvdashboard-0.6.0a210504-py3-none-any.whl
Algorithm Hash digest
SHA256 b440ccb34a031389f99dcf15bc6bc050f0a645d937f96d67e8d10ce15454b9d6
MD5 6d3b278a5094f966a09c20a4966540d9
BLAKE2b-256 7b86cabe6ebc5602bb190e990fd843c9da751ba0d1200aa28cbeaa62d29bbca2

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