This article was published 6 years ago, therefore the contents of this post may be out of date.

Data is the very powerful tool, and sometimes it’s very hard to understand it in text format. So it’s one of the best ideas to use visualisation. There’s are many tools available these days for data visualisation.

Using data visualisation will get the best possible results even if the data is large or complex. Data visualisation is faster and easier for people to understand the data when they are displayed in charts and graphs. These are easy to understand, but it is not easy to build. It’s a hard job for developers to build UI for data visualization, but luckily there are some great JavaScript Charting Libraries that can make the life easier.

In this post, you’ll find some great JavaScript Charting Libraries for data visualisation.

1. Chart.js

Simple yet flexible JavaScript charting for designers & developers.

2. D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

3. Ember Charts

Ember Charts is a charting library built with the Ember.js and d3.js frameworks. It includes time series, bar, pie, and scatter charts which are easy to extend and modify. The out-of-the-box behavior these chart components represents our thoughts on best practices in chart interactivity and presentation.

4. Plottable

Plottable is a library of chart components for creating flexible, custom charts for websites. It is built on top of D3.js and provides higher-level pieces, like plots, gridlines, and axes. As such, it’s easier to quickly build charts than with D3, and the charts are much more flexible than standard-template charts provided by charting libraries.

5. Taucharts

Taucharts is a data-focused JavaScript charting library based on D3 and designed with passion.

6. Vis.js

vis.jsA dynamic, browser based visualization library. The library is designed to be easy to use, to handle large amounts of dynamic data, and to enable manipulation of and interaction with the data. The library consists of the components DataSet, Timeline, Network, Graph2d and Graph3d.

7. Chartist

Chartist.js is a simple responsive charting library built with SVG.

8. Sigma.js

Sigma is a JavaScript library dedicated to graph drawing. It makes easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications.

9. MetricsGraphics

MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots, histograms, bar charts and data tables as well as features like rug plots and basic linear regression.

10. Dimple

The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.

11. Pizza Amore

Create charts and line graphs for any device with Pizza Amore. The menu now includes bar charts and line graphs. Not to worry, you can still have a piece of pie … charts that is. Your Amore will be steaming hot with SVG so it’ll look good on retina devices and HiDPI devices.

12. PlotKit

PlotKit is a Chart and Graph Plotting Library for Javascript. It has support for HTML Canvas and also SVG via Adobe SVG Viewer and native browser support.

13. amCharts

amCharts is an advanced charting library that will suit any data visualization need.

14. EJSCharts

EJSCharts is the open source solution for home and business data representation and customisation.

15. xCharts

xCharts is a JavaScript library for building beautiful and custom data-driven chart visualizations for the web using D3.js. Using HTML, CSS, and SVG, xCharts are designed to be dynamic, fluid, and open to integration’s and customisation.


15 Great JavaScript Charting Libraries