dragon_charts_flutter 0.1.0
dragon_charts_flutter: ^0.1.0 copied to clipboard
A lightweight and highly customizable charting library for Flutter.
Dragon Charts Flutter #
Dragon Charts Flutter is a lightweight, declarative, and highly customizable charting library for Flutter. It provides a simple yet powerful way to create various types of charts, with a focus on ease of use and flexibility.
Features #
- Lightweight: Minimal dependencies and optimized for performance.
- Declarative: Define charts using a declarative API that makes customization straightforward.
- Customizable: Highly customizable with support for different line types, colors, and more.
- Expandable: Designed with a modular architecture to easily add new chart types.
Installation #
Pub is the recommended way to install this package, but you can also install it from GitHub.
From Pub #
Run this command:
flutter pub add dragon_charts_flutter
From GitHub #
dependencies:
dragon_charts_flutter:
git:
url: https://github.com/your_username/dragon_charts_flutter.git
ref: main # or a specific tag/branch/commit
Then, run flutter pub get
to install the package.
Usage #
Here is a simple example to get you started:
import 'dart:async';
import 'dart:math';
import 'package:flutter/material.dart';
import 'package:dragon_charts_flutter/dragon_charts_flutter.dart';
void main() {
runApp(const MyApp());
}
class MyApp extends StatelessWidget {
const MyApp({super.key});
@override
Widget build(BuildContext context) {
return MaterialApp(
home: BlocProvider(
create: (_) => ChartBloc(),
child: const ChartScreen(),
),
);
}
}
class ChartScreen extends StatelessWidget {
const ChartScreen({super.key});
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: const Text('Custom Line Chart with Animation')),
body: Padding(
padding: const EdgeInsets.all(32),
child: BlocBuilder<ChartBloc, ChartState>(
builder: (context, state) {
return CustomLineChart(
domainExtent: const ChartExtent.tight(),
elements: [
ChartGridLines(isVertical: false, count: 5),
ChartAxisLabels(
isVertical: true,
count: 5,
labelBuilder: (value) => value.toStringAsFixed(2)),
ChartAxisLabels(
isVertical: false,
count: 5,
labelBuilder: (value) => value.toStringAsFixed(2)),
ChartDataSeries(data: state.data1, color: Colors.blue),
ChartDataSeries(
data: state.data2,
color: Colors.red,
lineType: LineType.bezier),
],
tooltipBuilder: (context, dataPoints) {
return ChartTooltip(
dataPoints: dataPoints, backgroundColor: Colors.black);
},
);
},
),
),
);
}
}
Documentation #
ChartData #
Represents a data point in the chart.
Properties
x
:double
- The x-coordinate of the data point.y
:double
- The y-coordinate of the data point.
ChartDataSeries #
Represents a series of data points to be plotted on the chart.
Properties
data
:List<ChartData>
- The list of data points.color
:Color
- The color of the series.lineType
:LineType
- The type of line (straight or bezier).
CustomLineChart #
The main widget for displaying a line chart.
Properties
elements
:List<ChartElement>
- The elements to be drawn on the chart.tooltipBuilder
:Widget Function(BuildContext, List<ChartData>)
- The builder for custom tooltips.domainExtent
:ChartExtent
- The extent of the domain (x-axis).rangeExtent
:ChartExtent
- The extent of the range (y-axis).backgroundColor
:Color
- The background color of the chart.
Roadmap #
✅ v0.1.0 (Done) #
- ✅ Initial release with support for line charts.
v0.2.0 #
- Add pie charts support.
- Improve documentation and add more examples.
v0.3.0 #
- Add bar charts support.
- Implement interactive legends.
v0.4.0 #
- Add scatter plots support.
- Enhance performance for large datasets.
v1.0.0 #
- Full documentation and stable release.
- Add support for exporting charts as images.
Why Dragon Charts Flutter? #
Dragon Charts Flutter is an excellent solution for your charting needs because:
- Lightweight: It has minimal dependencies and is optimized for performance, making it suitable for both small and large projects.
- Declarative: The declarative API makes it easy to define and customize charts, reducing the complexity of your code.
- Customizable: The library is highly customizable, allowing you to create unique and visually appealing charts tailored to your application's needs.
- Expandable: The modular architecture enables easy addition of new chart types and features, ensuring the library can grow with your requirements.
Contributing #
Contributions are welcome! Please read the contributing guidelines first.
License #
This project is licensed under the MIT License - see the LICENSE file for details.