Data collection has seen tremendous growth throughout various industries. This is due in part to the need for various companies to interpret data as pie charts or tables, for example.
A charting library efficiently facilitates the depiction of complex data in a straightforward format for end-users to better grasp. It comprises interactive features and pre-designed and customizable charts.
Interested ones can then use the data in a lively and captivating format.
The digital landscape is jam-packed with charting libraries. It would be time-consuming and counter-productive to test each one.
Users benefit from engaging with data visualizations that untangle complicated data sets. This sort of user engagement is an integral goal and component of web development.
Designers and developers generate lively data visualizations, from bar charts to bubble charts, and other visualizations that merge a variety of data-driven interfaces (like web apps and dashboards).
- a straightforward set up process
- a simple learning curve
- robust interfaces
- a stable UX
- access to a variety of pre-designed visualization layouts
D3.js can likely help with a range of functionality needs, but there are a few drawbacks. The learning curve is challenging and takes time, and the comprehensive documentation is dated and difficult to follow.
- support for several chart types
- a data-driven method in relation to DOM manipulation merged with elegant visualization components
- a straightforward in-browser element inspector for debugging
- loads of accessible samples
- curve-generating functions
This chart library works well with PCs, Macs, iPhones, and Android tablets. And it exceeds expectations by ensuring cross-browser compatibility (including IE6).
- various 2D and 3D chart options
- full interactive animated charts and maps
- NET, PHP, and Ruby on Rails server-side APIs
- support for jQuery, Angular, PHP, ASP.NET, React Native, Django, React, Ruby on Rails, Java, and more
- detailed user’s handbook and API reference
- various samples and dashboards to check out
- support for older browsers
Plotly has an extensive library with exceptional documentation and tutorials for all chart types.
The charts and graphs are professional, and the simple setup involves entering the dynamic data and customizing the layout, notes, axes, and legend.
- 3D charts
- SVG maps
- statistical graphs
- built onto D3.js and stack.gl
- 20 chart options
Google Charts is perfect for basic projects involving no complicated customization. Choose from a variety of pre-designed charts: area charts, bar charts, calendar charts, pie charts, geo charts, etc. Instantly upload these interactive charts onto a site.
Change chart appearances with customization options, and render charts using HTML5/SVG. Google Charts is compatible across platforms and browsers, including iPhones, iPads, and Android. Google Charts supports older IE versions via VML.
- a considerable amount of chart types
- customization options
- interactive components
- real-time data
- ease of use
- straightforward integration
Here is a multipurpose, quick and straightforward JS chart solution with up to 30 chart options to pick from. CanvasJS allows you to customize charts and offers support for animation and mixed charts. Create a vibrant chart theme in the UI.
The library incorporates a dashboard tool, offering a variety of perspectives from which to visualize data. Use CanvasJS to plot stock-related charts, and use different CDNs for stock and general charts.
- assortment of chart types
- customization options
- interactive components
- real-time data
- cross-platform compatibility
- multi-lingual support
- free and commercial licenses
C3.js is an effective D3-based data visualization library. It renders quickly, features strong compatibility with various browsers, and basic integration, making it a hassle-free option.
Its straightforward library comes with coherent documentation, which is a bonus.
The functionality lacks a little and does not boast as many features as other top-notch libraries. The visualizations are simplistic, so if you are looking to win awards for your chart designs, this isn’t the best JS chart solution. But it is practical and clear to use.
A get-started guide directs you as you set up your project using the basic library.
- wide range of tutorials and documentation
- responsive and mobile-friendly
- able to filter data series
Created with React users in mind, Recharts is an open source chart library using D3 in its internal workings and exposing declarative components. You can design appealing and interactive charts by rendering SVG elements with this lightweight chart library.
Recharts is user-friendly, and the documentation is a breeze.
Customize a variety of charts and check out the examples provided in the library for inspiration. Recharts performs well for static charts, and comes with built-in chart tools such as legend tooltips and labels.
If you’re working with several animated charts and big datasets on one page, it might start to lag but not for most projects.
Of concern is the volume of unresolved issues on GitHub. While not so serious, it looks like developers are not as available to resolve those issues. Get ready to search for and wide in the library for solutions.
- reuse React elements to effortlessly create charts
- built on top of SVG elements and depends on D3 sub-modules
- adjust component properties and insert custom features to modify your chart
- various practical examples
This is one of the fastest chart-rendering libraries out there. It operates smoothly with a substantial volume of data, and data analysts can work with extensive datasets (tens of thousands).
- ability to synchronize multiple charts
- customizable annotations with the Range/Viewfinder
- straightforward from the start
- perfect for showing data in real-time
- rapid data point feedback which is displayed off-chart
- zoom in and out function
- various samples featuring links to JSFiddles
- easy data manipulation using basic arrays or load data from text or CSV files
Here is a contemporary and practical open source chart library for creators to build eye-catching interactive visualizations. ApexCharts.Js is an MIT-licensed and open source library.
You can change and load datasets using sleek interactive animation and choose from over 10 color palettes to create a pre-set theme. Clear documentation helps you to get going as soon as possible.
It’s no wonder ApexCharts is popular among web developers boasting over 1 million downloads a month—no registration needed to download.
- various chart options
- fully responsive
- extremely interactive
- over 100 samples to inspire
ZingChart provides over 35 chart types and modules with real-time display. Use CSS to develop the design and theme of the chart and render big data quickly.
Check out all chart types for free or purchase a watermark-free license according to your business needs.
- assorted chart types
- customization options
- integrates with various web frameworks and libraries (Angular, React, jQuery, and Vue)
Another popular chart library, NVD3 is built on top of D3.js and features a robust technical foundation.
Performance is pretty solid, and simple animations give some life into the visual aspect of the basic interface. NVD3 easily integrates with existing data API solutions so you can add data straight from .json files.
- interactive charts
- various chart types
- customization of themes
Chart.is has a well-known and much-loved chart library with over 55 thousand stars to its name on GitHub. Create responsive charts with HTML5 Canvas elements with this light charting library.
You have access to six unique default chart types which are responsive and easy to work with (especially for tech newbies). Chart.js is a fascinating open source library to explore.
- modify and animate each chart type
- responsive charts online
- use plugins to enhance system functionality
- excellent documentation
- majority of browsers support IE9+
Instantly create a striking chart that engages simply with any backend data source. Make use of Sass for easy configuration and change this chart library.
- incredible animation
- API documentation contains vital information but is difficult to navigate (a lot of scrolling)
- increase functionality via plugins
- design charts with SVG
- offers support for older browsers
Billboard is founded on D3 v4+ and is a free, straightforward charting library. It features 22 chart types and its demo section has over 220 examples to draw from. Each detailed feature and sample have an API document to assist you to get going with your project.
Entering data is simple, enabling you to add small or large datasets for your visualizations.
- create charts with ease
- ESM (ES Module) with ES6+ syntax
- a variety of practical and comprehensive options
- compatible with D3 v4+
Inspired by GitHub’s visualizations, Frappe Charts supports an array of charts, from line graphs and bar charts to pie charts. Use this charting library to design heat maps reminiscent of those found on GitHub Activity. Frappe Chart is the JS library for you if you’re looking for minimalistic and light use.
- uncomplicated and user-friendly
- an assortment of available chart types
- customization options
- light functionality
Highcharts is jam-packed with an assortment of standout animation formats that are effective enough to draw a great deal of visitors to your official website—and keep them engaged.
As with the other libraries mentioned here, Highcharts includes a range of pre-designed graphs, for example area charts, area spline graphs, column, bar and pie charts, as well as scatter and spline visualizations. All the charts created are responsive and mobile-friendly. It also boasts some advanced features, like the addition of annotations (commentary) to various charts.
A huge draw for Highcharts is its ability to remain compatible with browsers, going so far back as Internet Explorer 6. A conventional browser would render graphics using an SVG format, but the legacy Internet Explorer browser uses VML to construct graphics.
Wrappers are available for the more widely used languages (.NET, PHP, Python, R, and Java), for frameworks like Angular, React and Vue, and for Android and iOS systems.
Highcharts is free for personal use but commercial purposes require a paid user license.
- optimized to cater for responsive design elements and touch-screen devices
- efficient enough to handle big data
- speedy on-hover tooltips rendering
- capable of annotating graphs and charts
- load data straight on to charts via a CSV file
If you are a developer on the lookout for a robust drawing tool that delivers in performance, then Sigma Charts is just for you.
Some standout attributes include:
- high-performance rendering
- great interactivity and customization possibilities
- an assortment of layouts to pick from
- extensible and modular
- vivid data visualization
Developers can benefit from these libraries because of the variety of chart kinds and configuration choices they give.
Depending on the specifics of your project, you may need to experiment with a few different libraries before settling on the one that works best for you.
To find the ideal library for your needs, you should investigate the options and possibly test a few out.
This ensures that data visualizations work with a wide variety of web technologies and facilitates their incorporation into preexisting web applications.
Some, though, may call for a business license before they may be used in public. Before deciding on a library to use for your project, you should research its licensing terms.
Some libraries may have more complex interfaces or demand more experience with programming. The good news is that most libraries come with extensive documentation, tutorials, and user communities to help developers learn how to use them.
These chart libraries help you put together an app that is not only modular but lightweight without needing to get your brain all tangled up in writing an extra set of scripts.
The majority of JS chart libraries are built to handle straightforward curated datasets and fixed visualizations. So when your project requires a bold chart, check out any one of these libraries to find the right one to inject your visualizations with the vibrancy you’re looking for.