Top Angular Charting Libraries

AG Grid is a feature-rich, high-performance JavaScript data grid library for displaying and manipulating tabular data.

Code Example

const gridOptions = {
  columnDefs: [{ field: 'name' }, { field: 'age' }],
  rowData: [{ name: 'John', age: 35 }, { name: 'Jane', age: 32 }]
};

Pros

• Offers extensive functionality and customization options for complex data grids
• Provides excellent performance for handling large datasets
• Supports multiple frameworks including React, Angular, and Vue

Cons

• Has a steeper learning curve compared to simpler charting libraries
• Requires a commercial license for advanced features
• Focused solely on data grids, unlike more versatile charting libraries

AAChartModel/AAChartKit is a charting library for iOS that provides an easy way to create interactive and customizable charts.

Code Example

let aaChartView = AAChartView()
let aaChartModel = AAChartModel()
    .chartType(.area)
    .title("Chart Title")
aaChartView.aa_drawChartWithChartModel(aaChartModel)

Pros

• Specifically designed for iOS, offering native performance and integration
• Provides a wide range of chart types and customization options
• Has a simple and intuitive API for creating charts quickly

Cons

• Limited to iOS development, unlike some cross-platform alternatives
• May have a smaller community and fewer resources compared to more established charting libraries
• Lacks some advanced features found in more comprehensive data visualization tools like ag-grid

swimlane/ngx-charts is a declarative charting framework for Angular applications, offering a wide range of customizable chart types.

Code Example

<ngx-charts-bar-vertical
  [view]="[700, 400]"
  [results]="data"
  [xAxis]="true"
  [yAxis]="true">
</ngx-charts-bar-vertical>

Pros

• Seamless integration with Angular, providing native Angular components for charts
• Extensive customization options and a wide variety of chart types
• Responsive design and animations out of the box

Cons

• Limited to Angular applications, unlike some other libraries that are framework-agnostic
• May have a steeper learning curve compared to simpler charting libraries
• Less suitable for complex data grids compared to specialized libraries like ag-grid

jtblin/angular-chart.js is an Angular.js wrapper for Chart.js, providing a simple way to create charts in Angular applications.

Code Example

<canvas class="chart chart-line" chart-data="data" chart-labels="labels" 
        chart-series="series" chart-options="options"></canvas>

Pros

• Specifically designed for Angular.js, making it easy to integrate with Angular applications
• Lightweight and simple to use compared to more complex charting libraries like ag-grid or ngx-charts
• Provides a good balance between functionality and ease of use for basic charting needs

Cons

• Limited to Chart.js functionality, which may not be as extensive as some other libraries like AAChartKit or ngx-charts
• Not as actively maintained as some other projects, with fewer recent updates
• Lacks advanced features like data grid functionality (found in ag-grid) or organizational chart capabilities (found in bumbeishvili/org-chart)

AAChartModel/AAChartKit-Swift is a Swift charting library for iOS that provides an easy way to create interactive and customizable charts.

Code Example

let aaChartView = AAChartView()
let aaChartModel = AAChartModel()
    .chartType(.area)
    .title("Chart Title")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6])
    ])
aaChartView.aa_drawChartWithChartModel(aaChartModel)

Pros

1. Specifically designed for iOS development with Swift, offering native performance and integration.
2. Provides a wide range of chart types and customization options out of the box.
3. Offers a simple and intuitive API for creating charts quickly.

Cons

1. Limited to iOS development, unlike some other libraries that support multiple platforms.
2. May have a smaller community and fewer resources compared to more established charting libraries.
3. Lacks some advanced features found in more comprehensive libraries like ag-grid or ngx-charts.