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Beautiful charts for Angular based on Chart.js

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Quick Overview

ng2-charts is a popular Angular library that provides a set of directives for creating various types of charts using Chart.js. It simplifies the process of integrating Chart.js into Angular applications, offering a more Angular-friendly approach to chart creation and manipulation.

Pros

  • Easy integration with Angular projects
  • Supports a wide range of chart types (line, bar, pie, doughnut, etc.)
  • Reactive updates when data changes
  • Customizable appearance and behavior

Cons

  • Limited to Chart.js functionality
  • Learning curve for those unfamiliar with Chart.js
  • May require additional setup for advanced customizations
  • Documentation could be more comprehensive

Code Examples

  1. Creating a basic line chart:
import { Component } from '@angular/core';
import { ChartConfiguration } from 'chart.js';

@Component({
  selector: 'app-line-chart',
  template: '<canvas baseChart [data]="lineChartData" [options]="lineChartOptions" type="line"></canvas>'
})
export class LineChartComponent {
  public lineChartData: ChartConfiguration['data'] = {
    datasets: [
      { data: [65, 59, 80, 81, 56, 55, 40], label: 'Series A' },
    ],
    labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July']
  };
  
  public lineChartOptions: ChartConfiguration['options'] = {
    responsive: true
  };
}
  1. Creating a bar chart with multiple datasets:
import { Component } from '@angular/core';
import { ChartConfiguration } from 'chart.js';

@Component({
  selector: 'app-bar-chart',
  template: '<canvas baseChart [data]="barChartData" [options]="barChartOptions" type="bar"></canvas>'
})
export class BarChartComponent {
  public barChartData: ChartConfiguration['data'] = {
    datasets: [
      { data: [65, 59, 80, 81, 56, 55, 40], label: 'Series A' },
      { data: [28, 48, 40, 19, 86, 27, 90], label: 'Series B' }
    ],
    labels: ['2016', '2017', '2018', '2019', '2020', '2021', '2022']
  };
  
  public barChartOptions: ChartConfiguration['options'] = {
    responsive: true
  };
}
  1. Updating chart data dynamically:
import { Component } from '@angular/core';
import { ChartConfiguration } from 'chart.js';

@Component({
  selector: 'app-dynamic-chart',
  template: `
    <canvas baseChart [data]="chartData" [options]="chartOptions" type="line"></canvas>
    <button (click)="updateData()">Update Data</button>
  `
})
export class DynamicChartComponent {
  public chartData: ChartConfiguration['data'] = {
    datasets: [{ data: [65, 59, 80, 81, 56, 55, 40], label: 'Series A' }],
    labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul']
  };
  
  public chartOptions: ChartConfiguration['options'] = {
    responsive: true
  };

  updateData() {
    this.chartData.datasets[0].data = [
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100),
      Math.round(Math.random() * 100)
    ];
    // Trigger change detection
    this.chartData = {...this.chartData};
  }
}

Competitor Comparisons

64,568

Simple HTML5 Charts using the <canvas> tag

Pros of Chart.js

  • More versatile and can be used with various frameworks, not limited to Angular
  • Larger community and more frequent updates
  • Offers more chart types and customization options out of the box

Cons of Chart.js

  • Requires more setup and configuration when used with Angular
  • May have a steeper learning curve for Angular developers
  • Lacks built-in Angular-specific features and optimizations

Code Comparison

ng2-charts:

import { NgChartsModule } from 'ng2-charts';

@NgModule({
  imports: [NgChartsModule],
  // ...
})
export class AppModule { }

Chart.js:

import { Chart } from 'chart.js/auto';

ngOnInit() {
  const ctx = document.getElementById('myChart');
  new Chart(ctx, {
    // chart configuration
  });
}

ng2-charts provides a more Angular-friendly approach with its module system and directives, while Chart.js requires manual instantiation and configuration within Angular components. ng2-charts simplifies the integration process for Angular developers, but Chart.js offers more flexibility for use across different frameworks and vanilla JavaScript projects.

Both libraries are based on Chart.js under the hood, but ng2-charts adds an Angular-specific wrapper to streamline the development process in Angular applications. The choice between the two depends on the specific project requirements, developer preferences, and the need for Angular-specific optimizations versus broader framework compatibility.

📊 Interactive JavaScript Charts built on SVG

Pros of ApexCharts.js

  • More extensive chart types and customization options
  • Better performance with large datasets
  • Responsive and mobile-friendly design out of the box

Cons of ApexCharts.js

  • Steeper learning curve due to more complex API
  • Larger file size, which may impact load times
  • Not specifically designed for Angular integration

Code Comparison

ng2-charts:

import { ChartOptions, ChartType, ChartDataSets } from 'chart.js';
import { Label } from 'ng2-charts';

public barChartOptions: ChartOptions = { responsive: true };
public barChartLabels: Label[] = ['2006', '2007', '2008', '2009', '2010'];
public barChartType: ChartType = 'bar';
public barChartData: ChartDataSets[] = [
  { data: [65, 59, 80, 81, 56], label: 'Series A' }
];

ApexCharts.js:

var options = {
  chart: { type: 'bar' },
  series: [{
    name: 'Series A',
    data: [65, 59, 80, 81, 56]
  }],
  xaxis: {
    categories: ['2006', '2007', '2008', '2009', '2010']
  }
};

var chart = new ApexCharts(document.querySelector("#chart"), options);
chart.render();

Both libraries offer powerful charting capabilities, but ApexCharts.js provides more flexibility and chart types at the cost of a steeper learning curve. ng2-charts is more tightly integrated with Angular, making it easier to use in Angular projects. The choice between them depends on the specific project requirements and the developer's familiarity with Angular and charting libraries.

Highcharts JS, the JavaScript charting framework

Pros of Highcharts

  • More extensive and feature-rich charting library with a wide variety of chart types
  • Better documentation and community support
  • Highly customizable with advanced options for styling and interactivity

Cons of Highcharts

  • Commercial license required for most use cases
  • Steeper learning curve due to its extensive API and options
  • Larger file size, which may impact page load times

Code Comparison

ng2-charts:

import { ChartOptions, ChartType, ChartDataSets } from 'chart.js';
import { Label } from 'ng2-charts';

public barChartOptions: ChartOptions = { responsive: true };
public barChartLabels: Label[] = ['2006', '2007', '2008', '2009', '2010'];
public barChartType: ChartType = 'bar';
public barChartData: ChartDataSets[] = [
  { data: [65, 59, 80, 81, 56], label: 'Series A' }
];

Highcharts:

import * as Highcharts from 'highcharts';

const options: Highcharts.Options = {
  chart: { type: 'bar' },
  title: { text: 'Bar Chart' },
  xAxis: { categories: ['2006', '2007', '2008', '2009', '2010'] },
  series: [{ name: 'Series A', data: [65, 59, 80, 81, 56] }]
};
Highcharts.chart('container', options);

Both libraries offer ways to create charts, but Highcharts provides more built-in options and customization out of the box, while ng2-charts relies more on Chart.js configurations.

108,427

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

Pros of d3

  • Highly flexible and customizable, allowing for complex and unique visualizations
  • Extensive documentation and large community support
  • Can be used with various frameworks or vanilla JavaScript

Cons of d3

  • Steeper learning curve due to its low-level nature
  • Requires more code to create basic charts compared to ng2-charts
  • May be overkill for simple charting needs

Code Comparison

ng2-charts:

<canvas baseChart
  [datasets]="barChartData"
  [labels]="barChartLabels"
  [options]="barChartOptions"
  [legend]="barChartLegend"
  [chartType]="'bar'">
</canvas>

d3:

const svg = d3.select("body").append("svg")
    .attr("width", width)
    .attr("height", height);

svg.selectAll("rect")
    .data(data)
    .enter().append("rect")
    .attr("x", (d, i) => i * 30)
    .attr("y", d => height - d * 4)
    .attr("width", 25)
    .attr("height", d => d * 4);

Summary

d3 offers more power and flexibility for creating custom visualizations but requires more effort and expertise. ng2-charts provides a simpler, more Angular-friendly approach for basic charting needs. The choice between the two depends on the complexity of the visualizations required and the developer's familiarity with each library.

16,856

Open-source JavaScript charting library behind Plotly and Dash

Pros of plotly.js

  • More extensive chart types and customization options
  • Standalone library, not tied to a specific framework
  • Active development with frequent updates and improvements

Cons of plotly.js

  • Larger file size, potentially impacting load times
  • Steeper learning curve due to more complex API
  • May require additional setup for Angular integration

Code Comparison

ng2-charts:

import { ChartOptions, ChartType, ChartDataSets } from 'chart.js';
import { Label } from 'ng2-charts';

public barChartOptions: ChartOptions = { responsive: true };
public barChartLabels: Label[] = ['2006', '2007', '2008', '2009', '2010'];
public barChartType: ChartType = 'bar';
public barChartData: ChartDataSets[] = [
  { data: [65, 59, 80, 81, 56], label: 'Series A' }
];

plotly.js:

import Plotly from 'plotly.js-dist';

const data = [{
  x: ['2006', '2007', '2008', '2009', '2010'],
  y: [65, 59, 80, 81, 56],
  type: 'bar'
}];

const layout = { title: 'Bar Chart' };
Plotly.newPlot('myDiv', data, layout);

Summary

plotly.js offers more flexibility and chart types but comes with a larger footprint and complexity. ng2-charts is more Angular-friendly and easier to use but has fewer features. The choice depends on project requirements and developer preferences.

23,884

Redefined chart library built with React and D3

Pros of recharts

  • Built specifically for React, offering seamless integration with React applications
  • Highly customizable with a wide range of chart types and components
  • Responsive design out of the box, adapting to different screen sizes

Cons of recharts

  • Limited to React applications, not suitable for Angular projects
  • Steeper learning curve for developers unfamiliar with React concepts
  • May require more manual configuration for complex chart scenarios

Code Comparison

ng2-charts (Angular):

import { ChartOptions, ChartType, ChartDataSets } from 'chart.js';
import { Label } from 'ng2-charts';

@Component({
  selector: 'app-bar-chart',
  template: '<canvas baseChart [datasets]="barChartData" [labels]="barChartLabels" [options]="barChartOptions" [legend]="barChartLegend" [chartType]="barChartType"></canvas>'
})

recharts (React):

import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, Legend } from 'recharts';

const MyBarChart = ({ data }) => (
  <BarChart width={600} height={300} data={data}>
    <CartesianGrid strokeDasharray="3 3" />
    <XAxis dataKey="name" />
    <YAxis />
    <Tooltip />
    <Legend />
    <Bar dataKey="value" fill="#8884d8" />
  </BarChart>
);

Both libraries offer powerful charting capabilities, but ng2-charts is tailored for Angular applications, while recharts is designed specifically for React projects. The choice between them largely depends on the framework being used and the specific requirements of the project.

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README

ng2-charts npm version npm downloads Travis CI slack

Beautiful charts for Angular based on Chart.js

Usage & Demo

Samples using ng2-charts

https://valor-software.com/ng2-charts/


Installation

You can install ng2-charts by using the Angular CLI:

ng add ng2-charts

The required packages will be automatically installed, and your app.config.ts will be updated with the required changes to start using the library right away.

Manual install through package managers

  1. You can install ng2-charts using npm:

    npm install ng2-charts --save
    

    or yarn:

    yarn add ng2-charts --save
    
  2. You will also need to install and include Chart.js library in your application (it is a peer dependency of this library, more info can be found in the official chart.js documentation)

    npm install chart.js --save
    

    or with yarn:

    yarn add  chart.js --save
    
  3. Import the directive in your standalone component:

    import { BaseChartDirective } from 'ng2-charts';
    
    @Component({
      standalone: true,
      imports: [BaseChartDirective],
    })
    export class MyComponent {}
    
  4. Provide a configuration, typically in your main.ts:

    import { provideCharts, withDefaultRegisterables } from 'ng2-charts';
    
    bootstrapApplication(AppComponent, {
      providers: [provideCharts(withDefaultRegisterables())],
    }).catch((err) => console.error(err));
    

    Alternatively, include a minimal configuration to reduce the bundle size, eg:

    provideCharts({ registerables: [BarController, Legend, Colors] });
    

    Or in your AppModule:

    import { provideCharts, withDefaultRegisterables } from 'ng2-charts';
    
    @NgModule({
      providers: [provideCharts(withDefaultRegisterables())],
      bootstrap: [AppComponent],
    })
    export class AppModule {}
    

Angular version compatibility table

ng2-chart version
Angular version v1.x v2.x v3.x v4.x v5.x v6.x
2 - 9 ✓
10 ✓
11 ✓
12 ✓
13 ✓
14 ✓ ✓
15 ✓ ✓
16 ✓
17 ✓ ✓

API

Chart types

There is one directive for all chart types: baseChart, and there are 8 types of charts: line, bar, radar, pie , polarArea, doughnut, bubble and scatter. You can use the directive on a canvas element as follows:

<canvas baseChart [data]="barChartData" [options]="barChartOptions" [type]="'bar'"> </canvas>

Properties

Note: For more information about possible options please refer to original chart.js documentation

  • type: (ChartType) - indicates the type of chart, it can be: line, bar, radar, pie, polarArea, doughnut or any custom type added to Chart.js
  • data: (ChartData<TType, TData, TLabel>) - the whole data structure to be rendered in the chart. Support different flexible formats and parsing options, see here. In alternative, and depending on the type of your chart, you can use the labels and datasets properties to specify individual options.
  • labels: (TLabel[]) - Datasets labels. It's necessary for charts: line, bar and radar. And just labels (on hover) for charts: polarArea, pie and doughnut. Labels are matched in order with the datasets array.
  • datasets: ( ChartDataset<TType, TData>[]) - Same as the datasets property of the data input. See here for details.
  • options: (ChartOptions<TType>) - chart options (as per chart.js documentation).
  • legend: (boolean = false) - if true, chart legend is shown.

Events

  • chartClick: fires when click on a chart has occurred, returns information regarding active points and labels
  • chartHover: fires when mousemove (hover) on a chart has occurred, returns information regarding active points and labels

Colors

By default, this library uses the colors as defined by Chart.js. If you need more control on colors, eg: generating colors on the fly, see the advanced color palettes.

Dynamic Theming

The ThemeService allows clients to set a structure specifying colors override settings. This service may be called when the dynamic theme changes, with colors which fit the theme. The structure is interpreted as an override, with special functionality when dealing with arrays. Example:

type Theme = 'light-theme' | 'dark-theme';

private _selectedTheme: Theme = 'light-theme';
public get selectedTheme(){
  return this._selectedTheme;
}

public set selectedTheme(value){
  this._selectedTheme = value;
  let overrides: ChartOptions;
  if (this.selectedTheme === 'dark-theme') {
    overrides = {
      legend: {
        labels: { fontColor: 'white' }
      },
      scales: {
        xAxes: [ {
          ticks: { fontColor: 'white' },
          gridLines: { color: 'rgba(255,255,255,0.1)' }
        } ],
        yAxes: [ {
          ticks: { fontColor: 'white' },
          gridLines: { color: 'rgba(255,255,255,0.1)' }
        } ]
      }
    };
  } else {
    overrides = {};
  }
  this.themeService.setColorschemesOptions(overrides);
}

constructor(private themeService: ThemeService<AppChartMetaConfig>){
}

setCurrentTheme(theme: Theme){
  this.selectedTheme = theme;
}

The overrides object has the same type as the chart options object ChartOptions, and wherever a simple field is encountered it replaces the matching field in the options object. When an array is encountered (as in the xAxes and yAxes fields above), the single object inside the array is used as a template to override all array elements in the matching field in the options object. So in the case above, every axis will have its ticks and gridline colors changed.

Troubleshooting

Please follow this guidelines when reporting bugs and feature requests:

  1. Use GitHub Issues to report bugs and feature requests.
  2. Please always provide an example project and write steps to reproduce the error. That way we can focus on fixing the bug, not scratching our heads trying to reproduce it.

Thanks for understanding!

License

The MIT License (see the LICENSE file for the full text)

If you like this library and want to say thanks, consider buying me a coffee!

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