Skip to main content

JupyterLab extension for profiling UI performance

Project description

jupyterlab-ui-profiler

Github Actions Status Binder Documentation Status

JupyterLab extension for profiling UI performance.

UI Profiler UI

You can find more information in our User Guide.

Note: when this extension is enabled, the server will return additional headers:

  • to allow high-precision performance.now() measurements in Firefox 79+:

    Cross-Origin-Opener-Policy: same-origin,
    Cross-Origin-Embedder-Policy: require-corp
    
  • to enable JavaScript self-profiling in Chrome:

    Document-Policy: js-profiling
    

If this is undesirable in your deployment, but you still want to use the profiler without these functions, you can disable the server extension which sets these headers with:

jupyter server extension disable jupyterlab_ui_profiler

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install jupyterlab-ui-profiler

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab-ui-profiler

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-ui-profiler 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 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 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 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

Development uninstall

pip uninstall jupyterlab-ui-profiler

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named @jupyterlab/ui-profiler within that folder.

Testing the extension

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Documentation

To build locally:

make -C docs/ html SPHINXOPTS="-W"

To build in watch mode:

sphinx-autobuild docs/source docs/build/html

Packaging the extension

See RELEASE

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyterlab_ui_profiler-0.3.0.tar.gz (62.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jupyterlab_ui_profiler-0.3.0-py3-none-any.whl (137.9 kB view details)

Uploaded Python 3

File details

Details for the file jupyterlab_ui_profiler-0.3.0.tar.gz.

File metadata

  • Download URL: jupyterlab_ui_profiler-0.3.0.tar.gz
  • Upload date:
  • Size: 62.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for jupyterlab_ui_profiler-0.3.0.tar.gz
Algorithm Hash digest
SHA256 681268461d43bc8d30f981115d1da19db20ebfdbf1c8e0a3d5a87a199b72f4e6
MD5 9df6d2a8c1afd04baf597826bddc6127
BLAKE2b-256 59e88bf9dc129514350a19f5972e2b571bacbeee46c6c7035b628660aa5274bd

See more details on using hashes here.

File details

Details for the file jupyterlab_ui_profiler-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlab_ui_profiler-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7e943a4eacfe95486aa16ad082481c8a77dc3351c9a1c1a0110b8f16bbef4d08
MD5 7ad7d404b49c2cc531e547d0dc78165c
BLAKE2b-256 caba275487d2a825f618bd7d494b35b23c207f2c60ecca4e9b939cd661fbe8a0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page