JupyterLab System Monitor

JupyterLab extension to display system information (memory and cpu usage).

Provides an alternative frontend for the

jupyter-resource-usage

This extension was originally developed as part of the jupyterlab-topbar project, and extracted into its own repository later on.

TODO

• Add Network I/O
• Expose more settings

Prerequisites

• JupyterLab 1.0+
• Node.js

Installation

This extension requires the

jupyter-resource-usage

jupyterlab-topbar-extension

Note: This extension is not compatible with

nbresuse==0.3.4

Starting from JupyterLab 3.0, extensions can be distributed as a Python package. Installation instructions will differ depending on your version of JupyterLab:

JupyterLab 3.x

pip install jupyterlab-system-monitor

JupyterLab 2.x

pip install nbresuse
jupyter labextension install jupyterlab-topbar-extension jupyterlab-system-monitor

nbresuse

conda

conda install -c conda-forge nbresuse

Note: Node.js is required to install JupyterLab extensions. It can be installed with

conda

conda install -c conda-forge nodejs

Configuration

Graphic Display

You can set the memory and cpu limits (but not enforce it) to display the indicator in the top bar.

For more info, check the memory limit in the nbresuse repository.

Edit

~/.jupyter/jupyter_notebook_config.py

c = get_config()

memory
c.NotebookApp.ResourceUseDisplay.mem_limit =  10241024*1024
cpu
c.NotebookApp.ResourceUseDisplay.track_cpu_percent = True
c.NotebookApp.ResourceUseDisplay.cpu_limit = 

For example:

c.NotebookApp.ResourceUseDisplay.mem_limit = 4294967296
c.NotebookApp.ResourceUseDisplay.track_cpu_percent = True
c.NotebookApp.ResourceUseDisplay.cpu_limit = 2

Or use the command line option:

# POSIX shell
jupyter lab --NotebookApp.ResourceUseDisplay.mem_limit=$(( size_in_GB *1024*1024*1024)) \
            --NotebookApp.ResourceUseDisplay.track_cpu_percent=True \
            --NotebookApp.ResourceUseDisplay.cpu_limit=$(( number_of_cpus ))

Advanced Settings

You can change the label and refresh rate in JupyterLab's advanced settings editor:

Troubleshooting

If you are experiencing issues with the memory and cpu indicators not being displayed, make sure to check the nbresuse changelog for any breaking changes from major releases.

Development

# create a new conda environment
conda create -n jupyterlab-system-monitor -c conda-forge jupyterlab nodejs nbresuse
conda activate jupyterlab-system-monitor

Install dependencies
jlpm
Install the package in development mode
pip install -e .
Link your development version of the extension with JupyterLab
jlpm run develop
Rebuild extension TypeScript source after making changes
jlpm run build

Uninstall

pip uninstall jupyterlab-system-monitor