Overview
A high-performance data grid optimized for rendering large numeric datasets efficiently. Built with Flutter, it supports smooth scrolling, real-time updates, and minimal memory usage even with thousands of rows and columns. Ideal for analytics, scientific computing, and financial applications requiring fast data visualization. The package is cross-platform, working seamlessly across Android, iOS, Web, macOS, Windows, and Linux. It leverages efficient rendering techniques to maintain responsiveness under heavy loads.
Use cases
- Large-scale data visualization
- Real-time analytics dashboards
- Financial data tables
- Scientific dataset exploration
- High-frequency data updates
Key features
- Optimized rendering for massive datasets
- Cross-platform compatibility
- Smooth scrolling and virtualization
- Low memory footprint
- Support for custom cell styling
- Real-time data synchronization
Suitable for
- Developers building data-intensive apps
- Teams handling big numeric datasets
- Applications requiring responsive table UIs
- Users needing cross-platform table solutions
Considerations
- Best suited for numeric data
- Limited built-in filtering/sorting
- Requires careful state management for dynamic updates
- Not ideal for complex non-numeric content