⚡ Charting in India

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

India is a South Asian country with a population of over 1.4 billion people.

According to our data, charting libraries are detected on 2.8% of websites from India.

⭐ Most Popular in 2026

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

The most popular is Easy Pie Chart, which dominates the market with a substantial 54.8% share.
It is followed by Chart.js with 26.8% and Google Charts with 5.3%.

🚀 Highlights

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

✨ Best Charting Libraries

Below is a more detailed list of 22 charting libraries used on sites from India, ranked by their market share.

RankNameMarket share
1
Easy Pie Chart

A lightweight library for drawing simple, animated and retina optimized pie charts.

2
Chart.js

An open-source JavaScript library for data visualization that renders charts in HTML5 canvas.

FreeOpen source
3
Google Charts
Mountain View, California, United States

A free JavaScript library for creating interactive data visualizations using HTML5 and SVG.

Free
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
5
D3.js

An open-source, low-level JavaScript toolbox for data visualization.

FreeOpen source
6
amCharts
Neringa, Lithuania

A commercial set of data visualization libraries offering different types of charts and interactive maps.

$80+/seat/year
7
Morris.js

An open-source JavaScript charting library with simple drawing line, bar, area, and donut charts.

FreeOpen source
8
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
9
jQuery Sparklines

A jQuery plugin for generating small sparkline charts directly in the browser.

FreeOpen source
10
CanvasJS

A commercial charting library with over 30 chart types.

$299+/seat
11
Flot

A JavaScript plotting library for jQuery with a focus on ease of use, attractive appearance, and interactive features.

FreeOpen source
12
C3.js

A reusable chart library built on top of D3.js.

FreeOpen source
13
Mermaid

JavaScript-based diagramming and charting tool that renders Markdown-inspired text definitions to create and modify diagrams dynamically.

FreeOpen source
14
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
15
Chartist

A simple, responsive, SVG-based charting library.

FreeOpen source
16
FusionCharts
Austin, Texas, United States

A paid JavaScript charting library that provides over 100 chart types and 2,000 maps.

$439+/year
17
AnyChart
St. Augustine, Florida, United States

A commercial JavaScript-based solution that allows developers to embed interactive charts and dashboards into any web, standalone or mobile project.

$49+
18
Plotly.js
Montreal, Quebec, Canada

A high-level, declarative charting library that ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps.

FreeOpen source
19
Dygraphs

A flexible open source JavaScript charting library that creates interactive time series visualizations using JavaScript and the HTML canvas tag.

20
Datawrapper
Berlin, Germany

A web-based data visualization tool for creating charts, maps, and tables for web and print.

Free$599/month
21
jqPlot

A jQuery plugin to generate pure client-side JavaScript charts in your web pages.

FreeOpen source
22
Flourish
Sydney, Australia

A data visualization platform that allows anyone to turn their data into stunning charts, maps, and interactive stories.

Free$$$

👉 See Also

Data is based on the analysis of 67,209 websites from India.
Statistics were last calculated on .
For details, see our methodology and disclaimer.