| name | syncfusion-flutter-spark-charts |
| description | Implements Syncfusion Flutter Spark Charts (SfSparkLineChart, SfSparkAreaChart, SfSparkBarChart, SfSparkWinLossChart) for compact, lightweight data visualization. Use when working with micro charts, sparklines, KPI indicators, or inline trend charts in Flutter dashboards. This skill covers chart configuration, data binding, markers, tooltips, and trackball for all four spark chart types. |
| metadata | {"author":"Syncfusion Inc","version":"33.1.44"} |
Syncfusion Flutter Spark Charts
This skill covers the Syncfusion Flutter Spark Charts (also known as Micro Charts) - lightweight, condensed chart widgets designed to show data trends in a simple, compact format without axes or coordinates. The package includes four chart types: SfSparkLineChart, SfSparkAreaChart, SfSparkBarChart, and SfSparkWinLossChart.
When to Use This Skill
Use this skill when you need to:
- Display compact data visualizations without complex chart elements
- Show trends and patterns in a minimal, condensed format
- Add inline charts to tables, cards, or dashboards
- Visualize KPIs and performance indicators efficiently
- Create lightweight visualizations where space is limited
- Build dashboard widgets with quick data insights
- Implement micro charts for mobile or web interfaces
- Display data summaries without overwhelming detail
- Show win-loss scenarios or binary outcomes
- Add sparklines to data grids or list items
Choosing the Right Chart Type
Use SfSparkLineChart when:
- You need to identify patterns and trends over time
- Showing continuous data flow or sequences
- Displaying seasonal effects or changes over a period
- Line trends are the most appropriate visualization
- Building: stock price trends, temperature changes, sales trends, performance metrics
Use SfSparkAreaChart when:
- You want to emphasize magnitude of changes
- Cumulative values need to be highlighted
- The volume of change is more important than individual points
- You need to fill the area under the trend line
- Building: volume indicators, cumulative metrics, filled trend displays
Use SfSparkBarChart when:
- Discrete values or individual data points are important
- Comparing values across categories
- Column/bar representation is more intuitive
- Data is categorical or segmented
- Building: monthly comparisons, category-wise data, discrete measurements
Use SfSparkWinLossChart when:
- Showing binary outcomes (positive/negative, win/loss)
- Performance indicators with success/failure states
- Win-loss records or game results
- Binary status over time periods
- Building: win-loss records, success metrics, binary performance indicators, tie scenarios
Key Differences Summary:
| Feature | SfSparkLineChart | SfSparkAreaChart | SfSparkBarChart | SfSparkWinLossChart |
|---|
| Primary Purpose | Trend lines | Magnitude emphasis | Discrete comparisons | Binary outcomes |
| Visualization | Line | Filled area | Vertical bars | Win/Loss bars |
| Marker Support | ✅ Yes | ✅ Yes | ❌ No | ❌ No |
| Best For | Continuous trends | Cumulative data | Categorical data | Binary data |
| Data Label | ✅ Yes | ✅ Yes | ✅ Yes | ❌ No |
| Border Style | Line only | Area + Border | Bar + Border | Bar + Border |
| Special Points | High, low, first, last, negative | High, low, first, last, negative | High, low, first, last, negative | High, low, first, last, tie |
| Dashed Style | ✅ Yes | ❌ No | ❌ No | ❌ No |
Documentation and Navigation Guide
Getting Started
📄 Read: references/getting-started.md
- Installation and package setup
- Basic implementation for all chart types
- Adding dependencies and imports
- Binding data sources
- First examples and quick starts
Chart Overview
📄 Read: references/overview.md
- Spark Charts widget overview and features
- When to use Spark Charts vs full charts
- Four chart types explained
- Key features and capabilities
- Lightweight visualization benefits
Chart Types
📄 Read: references/chart-types.md
- Line chart (SfSparkLineChart)
- Area chart (SfSparkAreaChart)
- Bar chart (SfSparkBarChart)
- WinLoss chart (SfSparkWinLossChart)
- Chart type comparison and selection
- Type-specific properties and customization
- Dashed line support for line charts
Axis Configuration
📄 Read: references/axis-types.md
- Numeric axis
- Date-time axis
- Category axis
- Custom data source binding
- Axis line customization
- Axis crossing positions
- Axis styling (color, width, dash array)
Data Binding
📄 Read: references/data-binding.md
- Simple data binding with List
- Custom data source with xValueMapper and yValueMapper
- Numeric, date-time, and category x-axis values
- Data mapping patterns
- Using .custom() constructors
Markers and Data Labels
📄 Read: references/markers-datalabels.md
- Marker configuration (line and area charts only)
- Marker shapes (circle, diamond, square, triangle, inverted triangle)
- Marker display modes (all, high, low, first, last, none)
- Marker customization (color, border, size)
- Data label display modes
- Data label styling
Trackball
📄 Read: references/trackball.md
- Enabling trackball for interaction
- Trackball activation modes (tap, longPress, doubleTap)
- Trackball customization (color, border, background)
- Trackball label styling
- Touch interaction patterns
Plot Bands
📄 Read: references/plotband.md
- Highlighting specific Y-axis ranges
- Plot band start and end values
- Plot band styling (color, border)
- Use cases for plot bands
Customization and Styling
📄 Read: references/customization.md
- Chart color customization
- Special point colors (high, low, first, last, negative, tie)
- Border styling (width, color)
- Line width customization
- Chart inversion
- Visual appearance patterns
Accessibility
📄 Read: references/accessibility.md
- Sufficient contrast for charts
- Theme support and customization
- Large font support
- Text scaling with MediaQueryData
- Color customization for accessibility
Quick Start Examples
Basic Line Chart
import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_charts/sparkcharts.dart';
class MySparkLineChart extends StatelessWidget {
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text('Spark Line Chart')),
body: Center(
child: Container(
height: 100,
padding: EdgeInsets.all(16),
child: SfSparkLineChart(
data: <double>[
5, 6, 5, 7, 4, 3, 9, 5, 6, 5, 7, 8, 4, 5, 3, 4, 11, 10, 2, 12, 4, 7, 6, 8
],
),
),
),
);
}
}
Bar Chart with Special Points
import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_charts/sparkcharts.dart';
class SparkBarWithColors extends StatelessWidget {
@override
Widget build(BuildContext context) {
return SfSparkBarChart(
data: <double>[
10, 6, 8, -5, 11, 5, -2, 7, -3, 6, 8, 10
],
highPointColor: Colors.red,
lowPointColor: Colors.green,
firstPointColor: Colors.orange,
lastPointColor: Colors.orange,
negativePointColor: Colors.purple,
);
}
}
WinLoss Chart
import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_charts/sparkcharts.dart';
class SparkWinLossChart extends StatelessWidget {
@override
Widget build(BuildContext context) {
return SfSparkWinLossChart(
data: <double>[
12, 15, -10, 13, 15, 6, -12, 17, 13, 0, 8, -10
],
color: Colors.blue,
negativePointColor: Colors.red,
tiePointColor: Colors.grey,
);
}
}
Chart with Trackball
import 'package:flutter/material.dart';
import 'package:syncfusion_flutter_charts/sparkcharts.dart';
class SparkLineWithTrackball extends StatelessWidget {
@override
Widget build(BuildContext context) {
return SfSparkLineChart(
axisLineWidth: 0,
trackball: SparkChartTrackball(
backgroundColor: Colors.blue.withOpacity(0.8),
borderColor: Colors.blue.withOpacity(0.8),
borderWidth: 2,
color: Colors.blue,
labelStyle: TextStyle(color: Colors.white),
activationMode: SparkChartActivationMode.tap,
),
marker: SparkChartMarker(
displayMode: SparkChartMarkerDisplayMode.all,
),
data: <double>[
5, 6, 5, 7, 4, 3, 9, 5, 6, 5, 7, 8, 4, 5, 3, 4, 11, 10, 2, 12, 4, 7, 6, 8
],
);
}
}
Common Patterns
Pattern 1: Dashboard KPI Widget
// Compact KPI card with sparkline
class KPICard extends StatelessWidget {
final String title;
final String value;
final List<double> trendData;
final Color trendColor;
const KPICard({
required this.title,
required this.value,
required this.trendData,
this.trendColor = Colors.blue,
});
@override
Widget build(BuildContext context) {
return Card(
child: Padding(
padding: EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(title, style: TextStyle(fontSize: 14, color: Colors.grey)),
SizedBox(height: 8),
Text(value, style: TextStyle(fontSize: 24, fontWeight: FontWeight.bold)),
SizedBox(height: 12),
Container(
height: 50,
child: SfSparkLineChart(
axisLineWidth: 0,
data: trendData,
color: trendColor,
width: 2,
),
),
],
),
),
);
}
}
Pattern 2: Data Table with Inline Sparklines
// Table row with sparkline trend
class DataRowWithSparkline extends StatelessWidget {
final String label;
final List<double> data;
const DataRowWithSparkline({
required this.label,
required this.data,
});
@override
Widget build(BuildContext context) {
return Row(
children: [
Expanded(
flex: 2,
child: Text(label),
),
Expanded(
flex: 3,
child: Container(
height: 30,
child: SfSparkLineChart(
axisLineWidth: 0,
data: data,
highPointColor: Colors.green,
lowPointColor: Colors.red,
),
),
),
],
);
}
}
Pattern 3: Win-Loss Record Display
// Display win-loss record with chart
class WinLossRecord extends StatelessWidget {
final List<double> results; // 1 for win, -1 for loss, 0 for tie
const WinLossRecord({required this.results});
@override
Widget build(BuildContext context) {
int wins = results.where((r) => r > 0).length;
int losses = results.where((r) => r < 0).length;
int ties = results.where((r) => r == 0).length;
return Column(
children: [
Row(
mainAxisAlignment: MainAxisAlignment.spaceAround,
children: [
Text('W: $wins', style: TextStyle(color: Colors.green)),
Text('L: $losses', style: TextStyle(color: Colors.red)),
Text('T: $ties', style: TextStyle(color: Colors.grey)),
],
),
SizedBox(height: 8),
Container(
height: 40,
child: SfSparkWinLossChart(
data: results,
color: Colors.green,
negativePointColor: Colors.red,
tiePointColor: Colors.grey,
),
),
],
);
}
}
Pattern 4: Chart with Plot Band Threshold
// Highlight threshold zones with plot band
class ThresholdSparkLine extends StatelessWidget {
final List<double> data;
final double thresholdMin;
final double thresholdMax;
const ThresholdSparkLine({
required this.data,
this.thresholdMin = 5.0,
this.thresholdMax = 10.0,
});
@override
Widget build(BuildContext context) {
return SfSparkLineChart(
axisLineWidth: 1,
axisLineColor: Colors.grey[300],
data: data,
color: Colors.blue,
plotBand: SparkChartPlotBand(
start: thresholdMin,
end: thresholdMax,
color: Colors.green.withOpacity(0.2),
borderColor: Colors.green,
borderWidth: 1,
),
);
}
}
Key Properties
Essential Properties (All Chart Types)
Data & Display:
data - List of data values (List)
color - Primary color of the chart
axisLineWidth - Axis line width (set to 0 to hide)
isInversed - Inverts chart vertically
Special Point Colors:
highPointColor, lowPointColor, firstPointColor, lastPointColor
negativePointColor - For negative values
tiePointColor - For zero values (Win-Loss only)
Interactive Features:
marker - Marker configuration (Line/Area only)
trackball - Interactive tooltip configuration
plotBand - Highlight Y-axis ranges
Line Chart Specific:
width - Line thickness
dashArray - Dashed line pattern [5, 3]
Area/Bar/Win-Loss Specific:
borderColor, borderWidth - Chart borders
Data Labels:
labelDisplayMode - Display mode (all, high, low, first, last, none)
labelStyle - Text style configuration
Custom Data Binding:
- Use
.custom() constructor with dataCount, xValueMapper, yValueMapper
📄 For detailed properties: See references/customization.md
Common Use Cases
- Dashboard KPIs - Use SfSparkLineChart for compact trend indicators
- Data Grid Trends - Use any chart type inline with table data
- Performance Metrics - Use SfSparkLineChart with special point colors
- Win-Loss Records - Use SfSparkWinLossChart for game/competition results
- Stock Price Indicators - Use SfSparkLineChart with markers
- Sales Trends - Use SfSparkAreaChart to emphasize volume
- Monthly Comparisons - Use SfSparkBarChart for discrete periods
- Threshold Monitoring - Use plot bands to highlight critical ranges
- Mobile Dashboards - Use compact sparklines for space-limited UIs
- Report Summaries - Use sparklines for quick data overviews