TonyGermaneri/canvas-datagrid
Canvas Datagrid
Canvas-datagrid is a web component designed to render and manage large-scale datasets within a browser-based spreadsheet interface. By utilizing an immediate-mode rendering approach on a single canvas element, it bypasses the performance limitations associated with traditional document object model structures, allowing for the display of millions of rows and columns without the need for pagination.
The component distinguishes itself through its ability to handle complex, nested data structures by flattening hierarchical relationships into a single coordinate system. It incorporates a virtual scrolling engine that calculates and displays only the visible portion of the data, ensuring consistent performance during navigation. Users can interact with the grid through standard operations such as filtering, sorting, resizing, and reordering, while the system maintains state by persisting layout configurations like column widths and scroll positions in local browser storage.
Beyond its core data management capabilities, the grid supports extensive visual customization to align with specific design requirements. The project is distributed as a web component, providing a modular interface for developers to integrate high-performance data visualization into their applications.
Features
- Data Grids - A high-performance web component for rendering millions of hierarchical rows and columns directly on a single canvas element.
- High-Performance Visualizers - Enables high-performance rendering of millions of rows and columns for large-scale data analysis.
- Immediate Mode Canvas Renderers - Renders the entire interface frame-by-frame on a single canvas to bypass DOM performance limitations.
- Large Dataset Explorers - Optimized for the interactive exploration and display of massive tabular datasets without pagination.
- Spreadsheet Interfaces - Provides a browser-based spreadsheet interface capable of handling complex data structures without pagination.
- Virtual Scrolling - Renders only the visible subset of data rows and columns to maintain performance with massive datasets.
- Nested List Flattening - Converts nested hierarchical data structures into a linear index for seamless rendering and navigation.
- Hierarchical Data Displays - Allows embedding nested grids within rows to represent and drill down into complex parent-child data relationships.
- Hierarchical Grids - Supports hierarchical data structures through nested grids and expandable row levels.
- Data Visualization Components - Provides a modular web component for displaying and interacting with large datasets.
- Interactive Data Grid Manipulations - Facilitates interactive grid manipulations including resizing, reordering, and filtering within a canvas-based interface.
- Interactive Data Interfaces - Provides standard interface controls for filtering, sorting, resizing, and reordering data.
Star history
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