Top Angular Charting Libraries

1. Overview: ag-grid/ag-grid is a highly customizable and feature-rich data grid library for web applications.

2. Code Example:

<ag-grid-angular
  [rowData]="rowData"
  [columnDefs]="columnDefs"
  [gridOptions]="gridOptions">
</ag-grid-angular>

3. Pros:

   • Extensive customization options and features, making it suitable for complex data visualization requirements.
   • Supports a wide range of frameworks, including Angular, React, Vue.js, and more.
   • Provides excellent performance and scalability for large datasets.

4. Cons:

   • Relatively steep learning curve compared to some other charting libraries.
   • Can be more complex to set up and configure for simple use cases.
   • Licensing options may be a consideration for some projects.

Other Projects

The other projects in the comparison are primarily charting and visualization libraries for web applications, with varying levels of support for Angular and other frameworks.

1. AAChartModel/AAChartKit: A lightweight and highly customizable charting library for iOS, written in Swift.
2. swimlane/ngx-charts: A feature-rich charting library for Angular applications.
3. jtblin/angular-chart.js: A wrapper for the popular Chart.js library, providing integration with Angular.
4. AAChartModel/AAChartKit-Swift: The Swift version of the AAChartKit library, for iOS development.
5. valor-software/ng2-charts: Another wrapper for the Chart.js library, designed for Angular 2+ applications.
6. angular-gantt/angular-gantt: A Gantt chart component for Angular applications.
7. krispo/angular-nvd3: A wrapper for the NVD3 charting library, providing integration with Angular.
8. chinmaymk/angular-charts: A collection of chart components for Angular applications.

AAChartKit is a lightweight and highly customizable iOS native charting library, which is based on the popular JavaScript charting library, HighCharts.

Code Example

let chartModel = AAChartModel()
    .chartType(.column)
    .title("Chart Title")
    .series([AASeriesElement(name: "Tokyo", data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4])])
let chartView = AAChartView()
chartView.aa_drawChartWithChartModel(chartModel)

Pros

1. Highly customizable and feature-rich, allowing for the creation of complex and visually appealing charts.
2. Supports a wide range of chart types, including line, area, column, bar, pie, and more.
3. Provides a simple and intuitive API for integrating charts into iOS applications.

Cons

1. Limited to iOS development, while some of the other projects are cross-platform.
2. May have a steeper learning curve compared to some of the more lightweight charting libraries.
3. Dependency on the HighCharts library, which may not be suitable for all use cases.

1. Overview: swimlane/ngx-charts is a feature-rich and highly customizable charting library for Angular applications.

2. Code Example:

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

3. Pros:

   • Offers a wide range of chart types, including line, bar, pie, and more.
   • Provides advanced features like animations, tooltips, and legends.
   • Supports responsive design and accessibility.

4. Cons:

   • Relatively larger in size compared to some other charting libraries.
   • May have a steeper learning curve for developers unfamiliar with the library.
   • Requires Angular as the underlying framework, limiting its use in non-Angular projects.

ag-grid/ag-grid

1. Overview: ag-grid/ag-grid is a highly customizable and feature-rich data grid component for web applications.

2. Code Example:

<ag-grid-angular
  [rowData]="rowData"
  [columnDefs]="columnDefs"
  [gridOptions]="gridOptions">
</ag-grid-angular>

AAChartModel/AAChartKit

1. Overview: AAChartModel/AAChartKit is a lightweight and flexible charting library for iOS and macOS applications.

2. Code Example:

let chartView = AAChartView()
let chartModel = AAChartModel()
    .chartType(.column)
    .title("Chart Title")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4])
    ])
chartView.aa_drawChartWithChartModel(chartModel)

jtblin/angular-chart.js

1. Overview: jtblin/angular-chart.js is an Angular directive that wraps the popular Chart.js library.

2. Code Example:

<canvas
  base-chart
  [datasets]="lineChartData"
  [labels]="lineChartLabels"
  [options]="lineChartOptions"
  [chartType]="lineChartType">
</canvas>

AAChartModel/AAChartKit-Swift

1. Overview: AAChartModel/AAChartKit-Swift is the Swift version of the AAChartModel/AAChartKit library, providing charting capabilities for iOS and macOS applications.

2. Code Example: (Same as the AAChartModel/AAChartKit section)

valor-software/ng2-charts

1. Overview: valor-software/ng2-charts is an Angular directive that wraps the Chart.js library, similar to jtblin/angular-chart.js.

2. Code Example:

<canvas baseChart
  [datasets]="lineChartData"
  [labels]="lineChartLabels"
  [options]="lineChartOptions"
  [chartType]="lineChartType">
</canvas>

angular-gantt/angular-gantt

1. Overview: angular-gantt/angular-gantt is a Gantt chart component for Angular applications.

2. Code Example:

<gantt-chart
  [tasks]="tasks"
  [options]="options">
</gantt-chart>

krispo/angular-nvd3

1. Overview: krispo/angular-nvd3 is an Angular directive that wraps the nvd3 library, providing charting capabilities.

2. Code Example:

<nvd3 [options]

jtblin/angular-chart.js is an Angular.js directive for the popular Chart.js library, providing a simple and customizable way to create charts in Angular applications.

Code Example

<canvas class="chart chart-line" chart-data="data" chart-labels="labels" chart-legend="true" chart-series="series" chart-click="onClick"></canvas>

Pros

1. Lightweight and Performant: jtblin/angular-chart.js is a lightweight wrapper around Chart.js, making it a more performant option compared to some other charting libraries for Angular.
2. Customizable: The directive provides a wide range of options for customizing the appearance and behavior of the charts, allowing developers to create highly tailored visualizations.
3. Integrates with Angular: By providing a native Angular directive, jtblin/angular-chart.js seamlessly integrates with Angular applications, making it easy to use and maintain.

Cons

1. Limited to Chart.js: jtblin/angular-chart.js is tightly coupled with the Chart.js library, which may be a limitation for developers who prefer a different charting library.
2. Older Codebase: The project has not been actively maintained for several years, which may be a concern for developers looking for a more actively supported solution.
3. Lack of Advanced Features: Compared to some of the other projects in the comparison, jtblin/angular-chart.js may lack more advanced charting features and customization options.

AAChartKit-Swift is a lightweight and highly customizable iOS native framework for building beautiful and interactive charts.

let aaChartView = AAChartView()
aaChartView.aa_drawChartWithChartModel(AAChartModel()
    .chartType(.column)
    .title("Chart Title")
    .series([AASeriesElement(name: "Tokyo", data: [49.9, 71.5, 106.4, 129.2])])
)

Pros

1. Highly customizable and feature-rich, allowing for the creation of complex and visually appealing charts.
2. Supports a wide range of chart types, including line, area, column, bar, pie, and more.
3. Provides a simple and intuitive API for integrating charts into iOS applications.

Cons

1. Limited to iOS development, while some of the other projects are cross-platform.
2. May have a steeper learning curve compared to some of the more established charting libraries.
3. Smaller community and ecosystem compared to some of the more popular charting libraries.