glideapps/glide-data-grid

Features

• Data Grid Components - A high-performance data grid component for React that renders millions of cells using the HTML Canvas API.
• Enterprise Data Grids - Provides a professional-grade enterprise data grid with keyboard navigation, accessibility, and complex layout controls.
• High-Performance Visualizers - Renders millions of rows at high frame rates with smooth scrolling and fast visual updates.
• Grid Rendering - Utilizes an HTML5 canvas-based rendering architecture to display millions of cells with high performance.
• Large Dataset Optimizations - Optimizes the rendering and handling of massive datasets in the browser using lazy rendering.
• Canvas Rendering Pipelines - Implements a high-performance rendering pipeline that draws the grid interface directly to an HTML5 canvas.
• Data Model Mapping - Transforms raw data into visible cells on demand using a function-based mapping approach.
• Custom Cell Styling - Allows defining the visual appearance and layout of individual cells to support diverse data types.
• Canvas Cell Renderers - Provides a high-performance drawing API for rendering specialized cell content while maintaining smooth visual updates.
• On-Demand Cell Renderers - Transforms raw data into visual cells using a callback function only when cells enter the viewport.
• Virtualized Cell Rendering - Employs lazy rendering to display millions of rows with minimal memory and latency.
• Viewport-Based Virtualization - Uses viewport-based virtualization to render only the visible subset of cells from massive datasets.
• Virtualized Data Grids - Uses lazy rendering and virtualization to maintain high frame rates when scrolling through massive datasets.
• Editable Data Tables - Provides a strongly typed, editable data grid supporting high-performance virtual scrolling and in-place editing.
• Cell Editors - Provides built-in interfaces for modifying the content of individual cells within the grid.
• Selection State Layers - Tracks cell and row selections as a separate data layer to optimize update frequency.
• Data-Driven Visual Styling - Implements visual definitions that map data values (numbers, text, images) to specific cell styles.
• Selective Cell Refresh - Provides a mechanism to trigger the re-rendering of specific cells to ensure visuals match the most recent data updates.
• Column Layout Configurations - Provides centralized configuration for resizable columns, movable columns, variable row heights, and merged cells.
• Cell-Relative Positioning - Calculates screen-space coordinates of cells to accurately position interactive overlays and UI elements.
• Grid Index Coordinate Mappers - Maps grid indices to pixel coordinates to ensure accurate placement of interactive overlays and mouse interactions.
• Canvas Drawing APIs - Exposes a low-level rendering interface for specialized cell content that bypasses standard DOM update cycles.
• Data Table Accessibility - Implements first-class accessibility standards for navigating and interacting with large tabular datasets.
• Table Rendering Overrides - Allows for specialized data table rendering using custom drawing logic for diverse content types.
• Spreadsheet Interfaces - Implements an interactive spreadsheet interface featuring cell editing, column freezing, and merged cells.
• Frozen Grid Elements - Ships the ability to lock specific columns in place so they remain visible during horizontal scrolling.
• Virtualized Variable-Height Items - Implements variable row heights that automatically adjust as content sizes change within the virtualized grid.
• Grid Element Selection - Enables selection of single or multiple cells, rows, and columns for bulk actions or inspection.

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