ipydatagrid
A fast, interactive datagrid widget for Jupyter Notebook and JupyterLab with advanced features like selections, renderers, and conditional formatting.
What is ipydatagrid?
ipydatagrid is a fast, interactive datagrid widget built for Jupyter Notebook and JupyterLab environments. It provides a spreadsheet-like interface for displaying and manipulating tabular data directly within Jupyter, solving the need for performant data grids that integrate seamlessly with the Jupyter ecosystem. The widget supports advanced features like custom renderers, selections with two-way binding, and conditional formatting using Vega Expressions.
Data scientists, analysts, and researchers working with tabular data in Jupyter environments who need interactive, high-performance data grids for exploration and visualization.
Developers choose ipydatagrid for its native Jupyter integration, high performance with large datasets, and advanced features like two-way data binding and Vega-powered conditional formatting that aren't typically available in basic table widgets.
Overview
Fast Datagrid widget for the Jupyter Notebook and JupyterLab
Use Cases
Best For
- Displaying and interacting with large tabular datasets in Jupyter Notebook
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