Skip to main content

ImJoy Jupyterlab Extension

Github Actions Status

Run ImJoy plugins in JupyterLab

screenshot of the imjoy jupyterlab extension

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install imjoy-jupyterlab-extension

Uninstall

To remove the extension, execute:

pip uninstall imjoy-jupyterlab-extension

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 imjoy-jupyterlab-extension 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

Release the package

sh scripts/publish.sh

Development uninstall

pip uninstall imjoy-jupyterlab-extension

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 imjoy-jupyterlab-extension 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.

Packaging the extension

See RELEASE

Release files for imjoy-jupyterlab-extension 0.2.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for imjoy-jupyterlab-extension 0.2.6
File Size Uploaded
imjoy_jupyterlab_extension-0.2.6.tar.gz 5.1 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for imjoy-jupyterlab-extension 0.2.6
File Interpreter ABI Platform
imjoy_jupyterlab_extension-0.2.6-py3-none-any.whl Python 3 none any Details

Total release size: 5.3 MB

Release files / imjoy_jupyterlab_extension-0.2.6.tar.gz

Download URL imjoy_jupyterlab_extension-0.2.6.tar.gz
Size 5.1 MB
Tags Source
SHA-256 checksum
How to use checksums
b3a134070ca8813eb9ede95d9c483f15fb4bb963d73047173db4bf417a04f988
BLAKE2b-256 checksum
How to use checksums
098501f98ab01e9a8ebbc6b3fc384062ce14e637aa090787d5db273032ead0bc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release files / imjoy_jupyterlab_extension-0.2.6-py3-none-any.whl

Download URL imjoy_jupyterlab_extension-0.2.6-py3-none-any.whl
Size 179.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d1de1a92576b1be48bae009fe2f9cf1701f16cae7bff826d061a50ac331ef127
BLAKE2b-256 checksum
How to use checksums
8bcf7c73c6bbdfaa3b3eb7b9fc7730d86469891fcc41e875c9e14d1eb9e3643c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.9.18

Release history Release notifications | RSS feed

This release

0.2.6 This release

2 release files

0.2.5

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page