ipydatagrid is now part of Project Jupyter

Today, we are proud to announce that the ipydatagrid open source project has been incorporated into Project Jupyter as part of the Jupyter Widgets subproject.

What is ipydatagrid?

ipydatagrid is a fast data grid widget for Jupyter Notebooks and JupyterLab. Since its inception in 2019, it has been developed as an open source project in Bloomberg’s GitHub organization.

It offers a high-performance fully-featured DataGrid interface, fully integrated with ipywidgets. Built upon the Lumino datagrid, which also powers the JupyterLab CSV viewer, ipydatagrid provides users with a robust and versatile tool for data visualization and manipulation.

Screencast of ipydatagrid in action, showcasing multiple cell renderers with conditional rendering, and filtering of data.

Key Features

Users can customize the way data is represented in their grid using a variety of renderers.

Screencast of ipydatagrid showcasing advanced rendering capabilities.

ipydatagrid includes a sophisticated selection model with two-way data binding.

Screencast of ipydatagrid showcasing the advanced selection model with bi-directional bindings.

It enables conditional formatting powered by Vega Expressions.

Screenshot of ipydatagrid showcasing the use of Vega expression for conditional formatting.

The transfer to Project Jupyter

We would like to extend our gratitude to the developers and contributors who have significantly improved the ipydatagrid project over the years: Itay Dafna, Martin Renou, Mehmet Bektas, Kaia Young, Bernát Gábor, Vasilis Themelis, Supriya K., Greg Mooney, Ian Thomas, Olly Hensby, and John Gunstone. Special thanks to Chris Colbert, the creator of the Lumino Datagrid, which forms the foundation of ipydatagrid’s front-end.

Bloomberg’s contribution to Project Jupyter

The transfer of ipydatagrid to Project Jupyter is just one of many contributions that Bloomberg has made to Project Jupyter. As a long-standing sponsor, Bloomberg has been instrumental in the development and success of Jupyter. Home to core maintainers and a major funder of JupyterLab since its inception, Bloomberg has also sponsored all editions of JupyterCon. The sustained support by Bloomberg has been crucial to Jupyter’s growth and impact.

We are excited about the future of ipydatagrid within Project Jupyter, and look forward to continued innovation and collaboration within the broader community.

— on behalf of the Jupyter Widgets Council, Sylvain Corlay


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