⚡ Charting in Hong Kong

Charting libraries and tools help developers create interactive charts, graphs, and data visualizations for websites and applications.

Hong Kong is an East Asian special administrative region of China with a population of around 7.5 million people.

According to our data, charting libraries are detected on 1.3% of websites from Hong Kong.

Statistics based on 18K+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the top charting libraries in Hong Kong in 2026, based on market share.

The most popular is Easy Pie Chart with an impressive share of 37.1%, followed by Chart.js with 29.6% and Apache ECharts with 22.1%.

Easy Pie Chart 37.1%
Chart.js 29.6%
Apache ECharts 22.1%
Highcharts 4.6%
Morris.js 2.9%
D3.js 2.5%
Google Charts 2.1%
amCharts 2.1%
Mermaid 2.1%
jQuery Sparklines 2.1%
ApexCharts 1.3%
C3.js 0.8%
CanvasJS 0.8%
Diagrams.net 0.4%
Flot 0.4%

🚀 Highlights

Here is a list of the top libraries that are more popular in Hong Kong than worldwide.
Differences between global and country rankings are shown in parentheses.

3. Apache ECharts ^(-7)
4. Highcharts ^(-1)
5. Morris.js ^(-2)
10. jQuery Sparklines ^(-2)
12. C3.js ^(-2)
14. Diagrams.net ^(-5)

✨ Best Charting Libraries

Below is a more detailed list of 16 charting libraries used on sites from Hong Kong, ranked by their market share.

Rank	Name	Market share
1	Easy Pie Chart A lightweight library for drawing simple, animated and retina optimized pie charts.	37.1%
2	Chart.js An open-source JavaScript library for data visualization that renders charts in Canvas. FreeOpen source	29.6%
3	Apache ECharts Wilmington, Delaware, United States An open-source JavaScript charting and data visualization library used to build interactive charts in web applications. FreeOpen source	22.1%
4	Highcharts Vik i Sogn, Norway A commercial JavaScript charting framework based on SVG, with optional WebGL for high-volume rendering. Free$176+/seat/year	4.6%
5	Morris.js An open-source JavaScript charting library with simple drawing line, bar, area, and donut charts. FreeOpen source	2.9%
6	D3.js San Francisco, California, United States An open-source, low-level JavaScript toolbox for data visualization. FreeOpen source	2.5%
7	Google Charts Mountain View, California, United States A free JavaScript library for creating interactive data visualizations using HTML and SVG. Free	2.1%
8	amCharts Neringa, Lithuania A commercial set of data visualization libraries offering different types of charts and interactive maps. $80+/seat/year	2.1%
9	Mermaid JavaScript-based diagramming and charting tool that renders Markdown-inspired text definitions to create and modify diagrams dynamically. FreeOpen source	2.1%
10	jQuery Sparklines A jQuery plugin for generating small sparkline charts directly in the browser. FreeOpen source	2.1%
11	ApexCharts An open source JavaScript charting library for interactive data visualizations with 16 chart types, simple API, and 100+ ready-to-use samples. FreeOpen source	1.3%
12	C3.js A reusable chart library built on top of D3.js. FreeOpen source	0.8%
13	CanvasJS A commercial charting library with over 30 chart types. $299+/seat	0.8%
14	Diagrams.net Northampton, United Kingdom Production-grade deployment of Draw.io, a browser-based diagramming/whiteboarding visualization application. Free$1.70/month	0.4%
15	Flot A JavaScript plotting library for jQuery with a focus on ease of use, attractive appearance, and interactive features. FreeOpen source	0.4%
16	Chartist A simple, responsive, SVG-based charting library. FreeOpen source	0.4%

👉 See Also

🌎 Charting in other countries

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 18,179 websites from Hong Kong.
We currently track the presence of 26 charting libraries across the web.
Of these, 16 were detected on websites from Hong Kong.
Statistics were last calculated on May 5, 2026.
For more details, see our methodology and disclaimer.