FL Chart
A highly customizable Flutter chart library supporting line, bar, pie, scatter, radar, and candlestick charts.
What is FL Chart?
FL Chart is a Flutter library for creating customizable, interactive charts in mobile and web applications. It solves the need for high-quality data visualization in Flutter projects by offering multiple chart types with extensive styling and animation controls.
Flutter developers building applications that require data visualization, such as dashboards, analytics tools, financial apps, or fitness trackers.
Developers choose FL Chart for its deep customization capabilities, smooth animations, and comprehensive chart type support, which allow them to create professional-grade visualizations that align perfectly with their app's design.
Overview
FL Chart is a highly customizable Flutter chart library that supports Line Chart, Bar Chart, Pie Chart, Scatter Chart, Radar Chart and Candlestick Chart.
Use Cases
Best For
- Building financial apps with candlestick and line charts
- Creating interactive dashboards with multiple chart types
- Developing fitness or health apps with progress visualizations
- Designing analytics tools with customizable bar and pie charts
- Implementing data-heavy mobile applications with smooth animations
- Adding radar or scatter charts for specialized data analysis
Not Ideal For
- Projects requiring out-of-the-box, pre-styled charts with minimal configuration
- Applications with strict performance budgets for handling very large datasets in real-time
- Teams needing 3D charts, heatmaps, or geographic map visualizations
- Non-Flutter projects, as it's tightly coupled with the Flutter ecosystem
Pros & Cons
Pros
Supports Line, Bar, Pie, Scatter, Radar, and Candlestick charts, covering most common data visualization needs as highlighted in the comprehensive documentation.
Offers fine-grained control over colors, labels, axes, and tooltips, allowing developers to match any UI design, evidenced by the detailed sample code and guides.
Includes configurable animations for chart transitions and data updates, enhancing user experience in interactive apps, as shown in the animated gifs and demo.
Works seamlessly across iOS, Android, Web, and desktop via Flutter, ensuring consistent chart behavior on all supported platforms.
Cons
Achieving custom designs often requires extensive boilerplate code, as seen in the verbose sample implementations, which can be overwhelming for simple charts.
Lacks support for 3D charts, heatmaps, or map-based visualizations, limiting its use for specialized data analysis compared to some competitors.
With large datasets or high-frequency updates, the animation and rendering engine can lead to noticeable lag, as admitted in performance considerations for complex charts.
Frequently Asked Questions
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