Highcharts Grid Lite is a lightweight, standalone data grid component designed for displaying and managing tabular data in web applications. It offers a modern interface, robust customization options, and seamless integration with major JavaScript frameworks. The grid is optimized for performance with large datasets, supports accessibility standards, and provides an intuitive API for developers. Highcharts Grid Lite is suitable for a wide range of use cases, from dashboards to standalone tables, and can be extended with a Pro version for advanced features like cell editing and data synchronization.

Key Features

Accessibility-first Design Ensures inclusivity and compliance with web standards.

• Renders as standard HTML tables
• Supports keyboard navigation and screen readers (WCAG-compliant)

High Performance with Large Datasets Efficiently handles thousands of records.

• Row virtualization for minimal memory usage
• Smooth scrolling even with large data volumes

Framework Compatibility Integrates easily with popular JavaScript frameworks.

• Works with React, Vue, and Angular
• Flexible integration options for different tech stacks

Customizable CSS Theming Easily adapts to your application's look and feel.

• Uses CSS variables for theming
• Full control over fonts, colors, and cell styles

Intuitive and Comprehensive API Speeds up development and customization.

• Simple configuration for columns, headers, and data
• Supports advanced formatting and custom cell rendering

Standalone or Integrated Implementation Versatile deployment options.

• Can be used independently or as part of a larger dashboard
• Easily embedded into existing applications

Benefits

Developer Efficiency Reduces the time and effort required to implement data tables.

• Straightforward API and configuration
• Quick integration with minimal setup

User Accessibility Ensures all users can interact with data tables.

• Keyboard and screen reader support
• WCAG-compliant design

Performance at Scale Maintains responsiveness regardless of data size.

• Virtualization prevents slowdowns with large datasets
• Optimized rendering for smooth user experience

Customization and Flexibility Adapts to diverse application requirements.

• Theming via CSS variables
• Configurable columns, headers, and data formatting