Skip to main content

A JupyterLab dashboard extension to visualize data from students.

Project description

Unianalytics Dashboard JupyterLab Extension

Binder Badge Build Check Release

A frontend JupyterLab extension displaying visualizations about user notebook completion and interactions.

Requirements

  • JupyterLab >= 3.1.0

Install

To install the extension, execute:

pip install jupyterlab-unianalytics-dashboard

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab-unianalytics_dashboard

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 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

Development uninstall

pip uninstall jupyterlab_unianalytics_dashboard

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_unianalytics_dashboard 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

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_unianalytics_dashboard-4.0.3.tar.gz (787.5 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file jupyterlab_unianalytics_dashboard-4.0.3.tar.gz.

File metadata

File hashes

Hashes for jupyterlab_unianalytics_dashboard-4.0.3.tar.gz
Algorithm Hash digest
SHA256 0f408108281ad5edbb030acb7c9968987e1f7736ac1789d38947add67d9a609b
MD5 2d44d5e3cdb3e673b6034ec380b9daac
BLAKE2b-256 6954e6250fd48dc00b5c944c11cdca96b697112cf596c761910acb56cd21f306

See more details on using hashes here.

File details

Details for the file jupyterlab_unianalytics_dashboard-4.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlab_unianalytics_dashboard-4.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 13aec9445c4611b2812022a2da5b6349aea6a9dfc1b4d769fcfdb93fed15b160
MD5 93251fcdfc1fd37ccbc0658f885eb2f9
BLAKE2b-256 ca098c3621abe529710f159215c73f170a62aff9d7ba2ed9496162b7ab933b1b

See more details on using hashes here.

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