npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

ikizmet-apexcharts

v1.0.7

Published

iKizmet fork of Apex Charts library

Downloads

84

Readme

Browsers support

| Firefox | Chrome | Safari | Edge | IE11 | | --------- | --------- | --------- | --------- | --------- | | 31+ ✔ | 35+ ✔ | 6+ ✔ | Edge ✔ | IE11 ✔ |

Download and Installation

Installing via npm
npm install apexcharts --save
Direct <script> include
<script src="https://cdn.jsdelivr.net/npm/apexcharts"></script>

Wrappers for Vue/React/Angular

Integrate easily with 3rd party frameworks

Unofficial Wrappers

Useful links to wrappers other than the popular frameworks mentioned above

Usage

import ApexCharts from 'apexcharts'

To create a basic bar chart with minimal configuration, write as follows:

var options = {
  chart: {
    type: 'bar'
  },
  series: [{
    name: 'sales',
    data: [30, 40, 35, 50, 49, 60, 70, 91, 125]
  }],
  xaxis: {
    categories: [1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999]
  }
}

var chart = new ApexCharts(document.querySelector("#chart"), options);
chart.render();

This will render the following chart

A little more than the basic

You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. Below is an example of synchronized charts with github style.

Interactivity

Zoom, Pan, Scroll through data. Make selections and load other charts using those selections. An example showing some interactivity

Dynamic Series Update

Another approach to Drill down charts where one selection updates the data of other charts. An example of loading dynamic series into charts is shown below

Annotations

Annotations allows you to write custom text on specific values or on axes values. Valuable to expand the visual appeal of your chart and make it more informative.

Mixed Charts

You can combine more than one chart type to create a combo/mixed chart. Possible combinations can be line/area/column together in a single chart. Each chart-type can have it's own y-axis.

Candlestick

Use a candlestick chart (a common financial chart) to describe price changes of a security, derivative, or currency. Below image show how you can use another chart as a brush/preview-pane which acts as a handle to browse the main candlestick chart.

Heatmaps

Use Heatmaps to represent data through colors and shades. Frequently used with bigger data collections, they are valuable for recognizing patterns and area of focus.

Gauges

The tiny gauges are an important part of a dashboard and are useful in displaying single series data. A demo of these gauges:

Sparklines

Utilize sparklines to indicate trends in data, for example, occasional increments or declines, monetary cycles, or to feature most extreme and least values:

What's included

The download bundle includes the following files and directories providing a minified single file in the dist folder. Every asset including icon/css is bundled in the js itself to avoid loading multiple files.

apexcharts/
├── dist/
│   └── apexcharts.min.js
├── src/
│   ├── assets/
│   ├── charts/
│   ├── modules/
│   ├── utils/
│   └── apexcharts.js
└── samples/

Development

Install dependencies and run project

npm install
npm run dev

This will start the webpack watch and any changes you make to src folder will auto-compile and output will be produced in the dist folder.

Minifying the src

npm run build

Where do I go next?

Head over to the documentation section to read more about how to use different kinds of charts and explore all options.

Contacts

Email: [email protected]

Twitter: @apexcharts

Facebook: fb.com/apexcharts

Dependency

ApexCharts uses SVG.js for drawing shapes, animations, applying svg filters and a lot more under the hood. The library is bundled in the final build file, so you don't need to include it.

Supporting ApexCharts

ApexCharts is an open source project. You can help by becoming a sponsor on Patreon or doing a one time donation on PayPal

Our Supporters

Financial contributions to ApexCharts go towards ongoing development costs, servers, etc. You can join them in supporting ApexCharts development by visiting our page on Patreon!

Sponsors

Become a sponsor and get your logo on our website's home-page with a link to your site. [Become a sponsor]

License

ApexCharts is released under MIT license. You are free to use, modify and distribute this software, as long as the copyright header is left intact.