auto-dashboards 0.1.1

Auto convert Jupyter notebooks to dashboards

Auto Dashboards

Convert Jupyter notebooks to dashboards in one click and preview side-by-side.

https://github.com/user-attachments/assets/aa2c25e1-c95a-470d-8879-0b4fb3c5e158

Requirements

• JupyterLab >= 4.2
• OpenAI
  • you are required to provide your OpenAI API key to be able to convert notebooks to dashboards. Export it before starting JupyterLab:

  export OPENAI_API_KEY="your-api-key"
  

Install

To install the extension, execute:

pip install auto-dashboards

Uninstall

To remove the extension, execute:

pip uninstall auto-dashboards

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Acknowledgments

This extension is initially based on the Elyra AI Toolkit's Streamlit extension that provides Streamlit execution and preview functionality.

This extension is inspired by the POC from a wonderful BreakThrough AI Team during the Fall 2023 session: @anikaguin, @mpate154, @z3yn3p-alta. Check out their project.

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 auto_dashboards directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable auto_dashboards
# 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

# Server extension must be manually disabled in develop mode
jupyter server extension disable auto_dashboards
pip uninstall auto-dashboards

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 @orbrx/auto-dashboards within that folder.

Packaging the extension

See RELEASE