ag-charts-locale
Advanced tools
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/ag-grid/ag-grid/blob/latest/documentation/ag-grid-docs/public/images/ag-logos/svg-logos/AG-Charts-Logo_Dark-Theme.svg?raw=true"/> <sourc
AG Charts is a fully-featured and highly customizable canvas-based Locale Charting library. It delivers outstanding performance and has no third-party dependencies.
AG Charts is available in two versions: Community & Enterprise.
ag-charts-community is free, available under the MIT license, and comes with core series types, such as Pie, Area, Bar, Scatter and Bubble in addition to all of the key features expected from a Locale charting library, including Accessibility, Tooltips, Themes, Markers, Legends, Axis Types and Secondary Axes.ag-charts-enterprise is available under a commercial license and comes with additional series types, such as Maps, Sankey, Radar, and Waterfall Charts as well as advanced interactivity features, like Animations, Context Menus, Zooming, Navigators, Synchronization and much more, including Financial Charts.AG Charts offers 20+ Locale Chart types, each of which are fully customisable:
| Chart Type | AG Charts Community | AG Charts Enterprise |
|---|---|---|
| Bar | ✅ | ✅ |
| Line | ✅ | ✅ |
| Area | ✅ | ✅ |
| Scatter | ✅ | ✅ |
| Bubble | ✅ | ✅ |
| Pie | ✅ | ✅ |
| Donut | ✅ | ✅ |
| Combination | ✅ | ✅ |
| Box Plot | ❌ | ✅ |
| Candlestick | ❌ | ✅ |
| OHLC | ❌ | ✅ |
| Heatmap | ❌ | ✅ |
| Histogram | ❌ | ✅ |
| Nightingale | ❌ | ✅ |
| Radar Line | ❌ | ✅ |
| Radar Area | ❌ | ✅ |
| Radial Column | ❌ | ✅ |
| Radial Bar | ❌ | ✅ |
| Range Area | ❌ | ✅ |
| Range Bar | ❌ | ✅ |
| Sunburst | ❌ | ✅ |
| Treemap | ❌ | ✅ |
| Waterfall | ❌ | ✅ |
| Sankey | ❌ | ✅ |
| Chord | ❌ | ✅ |
AG Charts Locale Charting Library comes with every feature you'd expect:
| Feature | AG Charts Community | AG Charts Enterprise |
|---|---|---|
| Accessibility | ✅ | ✅ |
| Localisation | ✅ | ✅ |
| Series Highlighting | ✅ | ✅ |
| Tooltips | ✅ | ✅ |
| Animations | ❌ | ✅ |
| Context Menu | ❌ | ✅ |
| Crosshairs | ❌ | ✅ |
| Navigator | ❌ | ✅ |
| Synchronization | ❌ | ✅ |
| Zoom | ❌ | ✅ |
ℹ️ Note:
Visit the Pricing page for a full comparison.
Build interactive financial charts featuring advanced annotations with minimal configuration, all you need to do is provide your data:
const options = {
data: getData(),
};
AgCharts.createFinancialChart(options);
Once created, users will have a Financial Chart that they can interact with and add annotations to.
The default chart type is Candlestick, with additional types like OHLC and Line for versatile data visualisation.
The Maps Series let you visualise geographic data in different ways.
Maps can display data using Shapes, Lines and Marker series:
const options = {
topology: topology,
series: [
{
type: 'map-shape',
data: pacific,
idKey: 'name',
title: 'Pacific',
},
// ...
],
legend: {
enabled: true,
},
// ...
};
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 Locale installation instructions, or refer to our framework-specific guides for 
React, 
Angular and 
Vue.
$ npm install ag-charts-locale
<!doctype html>
<html lang="en">
<head>
<title>AG Charts Quick Start</title>
<!-- Locale Charts Core Library -->
<script src="https://cdn.jsdelivr.net/npm/ag-charts-locale/dist/umd/ag-charts-locale.js"></script>
</head>
<body>
<!-- Container for Chart -->
<div id="myChart"></div>
<!-- Charts configuration file -->
<script src="index.js"></script>
</body>
</html>
// Chart Options
const options = {};
// Create Chart
const chart = agCharts.AgCharts.create(options);
// Chart Options
const options = {
// Container: HTML Element to hold the chart
container: document.getElementById('myChart'),
// Data: Data to be displayed in the chart
data: [
{ 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 use
series: [{ type: 'bar', xKey: 'month', yKey: 'iceCreamSales' }],
};
ℹ️ Note:
For more information on building Locale Charts with AG Charts, refer to our Documentation.
AG Charts Enterprise customers have access to dedicated support via ZenDesk, which is monitored by our support & engineering teams.
If you have found a bug, please report it in this repository's issues section.
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.
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.
ag-charts-community is licensed under the MIT license.
ag-charts-enterprise has a Commercial license.
See the LICENSE file for more info.
AG GridAG Grid is our flagship product, a fully-featured and highly customizable Locale Data Grid. It delivers outstanding performance, has no third-party dependencies and comes with support for React, Angular and Vue.
AG Charts is used within AG Grid to power the Integrated Charting feature.
Learn more at ag-grid.com
Follow us to keep up to date with all the latest news from AG Grid:
-black?style=for-the-badge&logo=x){kind=icon}
FAQs
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/ag-grid/ag-grid/blob/latest/documentation/ag-grid-docs/public/images/ag-logos/svg-logos/AG-Charts-Logo_Dark-Theme.svg?raw=true"/> <sourc
We found that ag-charts-locale 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.
