AnyChart is a flexible JavaScript (HTML5, SVG, VML) charting framework that fits any solution in need of data visualization.
There are several ways to download/install AnyChart.
All binaries are located in dist folder.
If you don't want to download and host AnyChart yourself, you can include it from the AnyChart CDN (Content Delivery Network): https://cdn.anychart.com/
<head>
<script src="https://cdn.anychart.com/js/latest/anychart-bundle.min.js"></script>
</head>
You can install AnyChart using npm, bower or yarn:
npm install anychartbower install anychartyarn add anychartThe fastest way to start with AnyChart is to include framework into a webpage and write some code. Look at this simple HTML snippet below:
<!doctype html>
<body>
<div id="container" style="width: 500px; height: 400px;"></div>
<script src="https://cdn.anychart.com/js/latest/anychart-bundle.min.js" type="text/javascript"></script>
<script>
anychart.onDocumentReady(function() {
// create a pie chart
var chart = anychart.pie([
["Chocolate", 5],
["Rhubarb compote", 2],
["Crêpe Suzette", 2],
["American blueberry", 2],
["Buttermilk", 1]
]);
chart.title("Top 5 pancake fillings");
// set the container where chart will be drawn
chart.container("container");
// draw the chart on the page
chart.draw();
});
</script>
</body>
</html>
AnyChart provides wide variety of plugins for different kind of technologies, which includes:
You can use AnyChart in your TypeScript projects - we have definition file for our library which you can find in distribution folder.
AnyChart can run on any platform and with any database. These samples were created to demonstrate how AnyChart can be easily integrated into your environment. All examples are distributed under an Apache 2.0 License and can be customized to your application. If you are interested in a particular integration not listed here, please contact us.
To contribute to AnyChart project please:
develop branch.develop branch.GitHub documentation: Forking repositories.
GitHub documentation: Collaborating using pull requests.
Please, note:
AnyChart uses several third-party libraries and tools to work with JavaScript and CSS.
build.py python script is used to work with AnyChart project. You need to install python to use it.
To see all available options of the build script use -h or --help command:
./build.py -h.
To see command options use:
./build.py <command_name> -h
To install all dependencies use the deps command:
./build.py deps.
After running this command you can compile the project using the compile command:
./build.py compile
This compiles production version of anychart-bundle and puts it into the out folder.
To compile other modules use -m or --module option. To see all available modules see the description of -m option in the compile command help:
./build.py compile -h
To create a dev build for the debug purposes use -d or --develop option:
./build.py compile -d
The -df option generates property renaming report, variable renaming report, and source map location mapping files:
./build.py compile -df
Source map maps minified code to source code. Read more about using source maps in Chrome or source maps in Firefox.
├── css
│ ├── anychart.less
│ ...
├── dist
│ ├── json-schema.json
│ ├── xml-schema.xsd
│ ...
├── src
│ ├── charts
│ ├── core
│ ├── modules
│ ├── themes
│ ...
│ README.md
│ LICENSE
│ ...
The css folder contains .less CSS files that are compiled into one .css file.
The src folder contains AnyChart source code files organized according to the project structure. For example:
charts subfolder contains chart classescore subfolder contains core classesmodules subfolder contains modulesthemes contains themesThe dist folder contains binaries and JSON/XML Schemas.
© AnyChart.com - JavaScript charts. All rights reserved.
FAQs
AnyChart is a lightweight and robust JavaScript charting solution with great API and documentation. The chart types and unique features are numerous, and the library works easily with any development stack.
The npm package anychart receives a total of 2,005 weekly downloads. As such, anychart popularity was classified as popular.
We found that anychart demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers 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
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
Security News
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.