imaNNeo/fl_chart

fl_chart is a Flutter library for rendering interactive charts, supporting line, bar, pie, radar, scatter, candlestick, and gauge visualizations. It provides a modular architecture with dedicated render objects and data models for each chart type, enabling features like touch interaction, zooming, and panning. The system includes a comprehensive example application that demonstrates these capabilities across mobile, desktop, and web platforms.

This period focused on rebranding the project to 'fl_chart' and establishing a robust development infrastructure, including a Makefile and contributor guidelines. The core library underwent significant architectural refactoring, introducing a functional rendering system, a modern touch event handling mechanism, and support for new chart types like scatter plots. Additionally, the example application was updated to support Linux desktops and modern Android/iOS standards.

16 changes

This period focused on expanding the example application's reach to web, Linux, and macOS desktop platforms, alongside the introduction of a new RadarChart component. Concurrently, the codebase underwent significant refactoring and expansion of its test suite, with extensive unit tests added for chart components and utility classes.

20 changes

The project focused on modernizing the example application with a new presentation layer, introducing structured chart samples, interactive features, and centralized resources. Concurrently, significant effort was directed toward improving test coverage for charting utilities and axis components, alongside migrating chart title rendering to a widget-based approach.

18 changes

This period focused on introducing new charting capabilities, specifically implementing a CandlestickChart and a GaugeChart with full test coverage. The work also included adding sample implementations for these charts and establishing deployment automation for iOS and macOS platforms.

7 changes

imaNNeo/fl_chart was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.