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XellGrid is a highly interactive data grid in Jupyter to provide rich "Excel" like features and widgets to enable users with "no code, low code" experience to benefit from the Python/Jupyter's powerful analytical engines.

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What is XellGrid

XellGrid is a Jupyter based grid application that provides intuitive, powerful and fast data analysis and computationa functionalities for developers, data scientists, business analysts, and data analysts. It is compatible with multiple data table structures including Pandas, PyArrow, Dask, etc.

Main Features

  • Leverage computational power of Python ecosystems and supports both advanced Python scripting and "low code/no code" practices
  • Close integration with Pandas, one of the most popular Python data analysis packages
  • "Excel" like user interfaces, supports multiple tabs and commonly used features like vlookup, pivot, etc.
  • Built-in high performance computation engine and support super size (100G+) data analysis and manipulation
  • Supports both cloud based and local resource based computation, significatly reduce cloud computation cost
  • Support smart data analysis scripting based on latest NLP advancements.

Install


  • git clone https://github.com/xellgrid/XellGrid

Requirements

  • JupyterLab >= 3.0

Only Development Mode installation is supported at this time

Development install

Running from source & testing your changes

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 xellgrid directory
# Install package in development mode
python -m venv env && . env/bin/activate  # for linux environment
pip install --upgrade pip
pip install -r requirements-dev.txt
pip install -e .

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 run 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 run 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 xellgrid

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 xellgrid within that folder.

Packaging the extension

See RELEASE

Contributing

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. See the Running from source & testing your changes_ section above for more details on local qgrid development.

If you are looking to start working with the XellGrid codebase, navigate to the GitHub issues tab and start looking through interesting issues.

Feel free to ask questions by submitting an issue with your question.

About

XellGrid is a highly interactive data grid in Jupyter to provide rich "Excel" like features and widgets to enable users with "no code, low code" experience to benefit from the Python/Jupyter's powerful analytical engines.

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