The ag-charts-community npm package is a powerful charting library that allows developers to create a wide variety of charts for data visualization. It is part of the AG Grid ecosystem and provides a flexible and customizable way to represent data graphically.
What are ag-charts-community's main functionalities?
Line Chart
This feature allows you to create a basic line chart. The code sample demonstrates how to set up the data and series for a line chart.
Chart.js is a popular open-source library for creating simple yet flexible charts. It offers a variety of chart types and is known for its ease of use and integration. Compared to ag-charts-community, Chart.js is more lightweight but may lack some of the advanced customization options.
Highcharts is a well-known charting library that provides a wide range of chart types and extensive customization options. It is highly versatile and supports complex data visualizations. Highcharts is more feature-rich compared to ag-charts-community but comes with a steeper learning curve and licensing costs for commercial use.
D3.js is a powerful JavaScript library for producing dynamic, interactive data visualizations in web browsers. It uses web standards such as SVG, HTML, and CSS. D3 offers unparalleled flexibility and control over the visualizations but requires a deeper understanding of web technologies and data manipulation compared to ag-charts-community.
AG Charts is a fully-featured and highly customizable canvas-based JavaScript Charting library.
It delivers outstanding performance, has no third-party dependencies, and comes with support for
React
,
Angular
and
Vue
.
AG Charts are easy to set up - all you need to do is provide your data and series type along with any other chart options. Read on for vanilla JavaScript installation instructions, or refer to our framework-specific guides for React, Angular and Vue.
// Chart Optionsconst options = {
// Container: HTML Element to hold the chartcontainer: document.getElementById('myChart'),
// Data: Data to be displayed in the chartdata: [
{ month: 'Jan', avgTemp: 2.3, iceCreamSales: 162000 },
{ month: 'Mar', avgTemp: 6.3, iceCreamSales: 302000 },
{ month: 'May', avgTemp: 16.2, iceCreamSales: 800000 },
{ month: 'Jul', avgTemp: 22.8, iceCreamSales: 1254000 },
{ month: 'Sep', avgTemp: 14.5, iceCreamSales: 950000 },
{ month: 'Nov', avgTemp: 8.9, iceCreamSales: 200000 },
],
// Series: Defines which chart type and data to useseries: [{ type: 'bar', xKey: 'month', yKey: 'iceCreamSales' }],
};
ℹ️ Note:
For more information on building JavaScript Charts with AG Charts, refer to our Documentation.
🤝 Support
Enterprise Support
AG Charts Enterprise customers have access to dedicated support via ZenDesk, which is monitored by our support & engineering teams.
Bug Reports
If you have found a bug, please report it in this repository's issues section.
Questions
Look for similar problems on StackOverflow using the ag-charts tag. If nothing seems related, post a new message there. Please do not use GitHub issues to ask questions.
Contributing
AG Charts is developed by a team of co-located developers in London. If you want to join the team send your application to info@ag-grid.com.
⚠️ License
ag-charts-community is licensed under the MIT license.
AG Grid is our flagship product, a fully-featured and highly customizable JavaScript Data Grid. It delivers outstanding performance, has no third-party dependencies and comes with support for React, Angular and Vue.
The npm package ag-charts-community receives a total of 282,330 weekly downloads. As such, ag-charts-community popularity was classified as popular.
We found that ag-charts-community demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.It has 1 open source maintainer collaborating on the project.
Package last updated on 11 Dec 2024
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