Charts

Interactive chart controls powered by flet-charts let you display data as bar, line, pie, scatter and plotly visualisations directly in your Flet apps.

It is built on top of the fl_chart Flutter package and ships with helper classes for axis labels, tooltips and more.

Platform Support

Platform	Windows	macOS	Linux	iOS	Android	Web
Supported	✅	✅	✅	✅	✅	✅

Usage

Add flet-charts to your project dependencies:

uvpip

uv add flet-charts

pip install flet-charts  # (1)!

1. After this, you will have to manually add this package to your requirements.txt or pyproject.toml.

[!TIP] All chart services are regular controls—simply instantiate them and add to the page or to a layout container.

Available Charts

• BarChart
• CandlestickChart
• LineChart
• MatplotlibChart
• PieChart
• PlotlyChart
• ScatterChart

Each chart page provides ready-to-run examples from ../../examples/controls/charts.