Data visualization tools like charts and dashboards save time in decision making as it provides instant visualizations.
Table of Contents
Without more ado, let me share the top 05 charting libraries for data visualization in 2020!
A go-to library for data visualization. When you don’t have time to learn new technologies. When you need a simple yet powerful and flexible drop-in data visualization solution. Includes all basic and advanced chart types, as well as is extendable by additional plugins like Maps and TimeLine.amCharts
- Supports all chart types, including geographical maps.
- A drill-down feature along with other great interactivity options.
- Animated charts
- Provides an option to export as an image or pdf
- Free for any use, but all charts include a small, branded link. To remove the amCharts attribution, one must buy licence(s).
It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear, and informative at a glance.
- Open-source and community-maintained project.
- 8 animated and customizable chart types.
- Great performance over all the modern browsers.
- Responsive charts – Redraws charts on window resize for perfect scale granularity.
- It provides only 8 types of charts.
- Easy to learn
- Hundreds of examples.
FusionCharts is another good interactive charting library with hundreds of charts ready for use. The charts accept both JSON and XML data formats and are rendered via HTML5/SVG or VML.
- It provides animated and interactive 100+ charts and 2000+ maps.
- It can be integrated with jQuery, Angular, Vue, etc.
- Export to PNG, JPG or PDF format.
Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps.Plotly
plotly.js is free and open source and you can view the source, report issues or contribute on GitHub.
plotly.jsabstracts the types of statistical and scientific charts that you would find in packages like matplotlib, ggplot2, or MATLAB.
- Highly customizable, animated and high performance.
- Exporting charts to PNG and JPG; EPS, SVG, and PDF are available on subscription.
Kuzu Zangpo la! I am Sonam Dargay. I am a full-time software developer. Apart from 9-5 office works, I am a tech enthusiast, blogger, and dreamer.
I graduated from the College of Science and Technology(CST), affiliated with the Royal University of Bhutan.