There is something magical in the charts. The curve of the curve instantly reveals the whole situation — the history of an epidemic, panic, or period of prosperity. This line enlightens, evokes the imagination, convinces.
- Henry. D. Hubbard
The amount of data you need to work with is constantly increasing. And the more information, the harder it is to handle. That is why the topic of data visualization has become especially popular now - in the form of graphs, diagrams, dashboards, preferably interactive. The visual presentation of the data allows us, people, to spend less time and effort on their viewing, analysis and reflection, as well as on making the right, informed decisions based on this.
It is unlikely that anyone will deny that in the modern HTML5 web JavaScript is the most universal and simple technology for data visualization. So, if you are engaged in front-end development, then you, most likely, either have already dealt with the creation of JS charts, or come across this in the (near) future.
There are
many JavaScript libraries for building graphs and diagrams, each of which (like any other tools) has its own pros and cons. To make your life easier, I decided to tell about those of them that I like most. I think the following ten libraries are the best JS libraries for creating graphs, and they really can help solve almost any problem of data visualization. Let's go through the list together and make sure that they are known to you at least in a basic way and you have not lost sight of any good library that may be useful in current or future large projects.
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Well, let's get started: here are the best JS libraries for data visualization!
amCharts
amCharts is one of the JavaScript libraries useful for those who are looking for a simple and at the same time flexible solution for data visualization.
Main features
- Many different types of graphs, including interactive maps and Gantt charts.
- Ability to analyze the data "in depth" (dildown) and other well-developed interactive options.
- The documentation describing all the necessary methods is well written, though, for my taste, not very convenient to use.
- Cool animation graphics.
- Integration with React, Angular, Vue, Ember, etc.
- Ready plugin for WordPress.
- Export graphs to image or PDF file.
- "Live" graphics, full customization, special features in accordance with W3C standards.
- Full technical support for all users and priority for customers with a license.
- Clients: Microsoft, Amazon, Ebay, NASA, Samsung, Yandex, AT & T, etc.
Cost of
Proprietary marking with a link in the free version. To remove branding, you need to buy a paid license (from $ 180), plus access to priority support is provided.
Learn more about amCharts
Anychart
AnyChart is a well-developed, lightweight, multifunctional JS library for rendering data with rendering in SVG / VML. Allows web developers to create all sorts of graphs and charts for further decision-making based on them.
Main features
- More than 80 types of charts, including regular charts, stock charts, geovizualization (maps), as well as Gantt charts and PERT network graphs.
- Many options for how to download data: XML, JSON, CSV, JS API, Google Sheets, HTML tables.
- The ability to "delve" into the data on the chart (drydown).
- Technical indicators for technical analysis and annotations (drawing tools) out of the box.
- Comprehensive API documentation and description, responsive support.
- Integration with Angular, Oracle APEX, React, Elasticsearch, Vue.js, Android, iOS, etc. For Qlik application developers and dashboards, there is a special ready-made extension for Qlik Sense.
- A lot of ready-made examples of graphs, charts, dashboards, as well as its own special sandbox with auto-complete code.
- Support for older browsers.
- Export data in various formats, including PDF reports; Jpg, png, svg image; Excel (XLSX) or CSV files with graph data.
- Clients: Oracle, Microsoft, Citi, Samsung, Nokia, AT & T, Ford, Volkswagen, Lockheed Martin, and others.
Cost of
The version with watermark is free. To get rid of branding and get the opportunity to use AnyChart in commercial projects, you need to purchase a license (from $ 49).
Learn more about AnyChart
Chart.js
Chart.js is a simple and at the same time quite flexible JavaScript library for data visualization, popular among web designers and developers. It is an excellent basic solution for those who do not need a wide variety of types of graphs and individual settings, but who are enough to make the graphs look neat, clear and informative.
Main features
- 8 types of graphs and charts: linear (Line), linear with areas (Area), line (Bar), circular (Pie), radar radar (Radar), polar (Polar), bubble (Bubble) and scatterplot ( Scatter).
- All types of graphs can be customized and provided with animation, and all of them are adaptive when working in the network.
- The functionality can be extended through the use of plug-ins.
- Good documentation.
- Support via Stack Overflow.
- IE9 + browser support.
Cost of
Free open source library (open source). Published under the MIT license.
Learn more about Chart.js
Chartist.js
Chartist.js is a simple open source JS library that can also be used to create neat, adaptive graphs and charts. Generally speaking, it is well suited to those who require only elementary Line, Bar or Pie graphics and do not need much in terms of data visualization. Pleasant appearance, and there is no need for a large number of all sorts of features.
Main features
- Only 3 types of charts: Line, Bar, Pie.
- Great animation.
- API documentation contains all the necessary information, but it is not very convenient to use (get ready to scroll a lot).
- Allows you to use plugins to extend functionality.
- For drawing graphs uses SVG.
- Support for older browsers.
Cost of
Open-source, free use for any purpose.
Learn more about Chartist.js
D3.js
D3.js is an open-source, powerful JavaScript library for data visualization. It has more than 20 thousand forks on GitHub. In essence, D3 is more like a framework than a library. Working with her is not so easy, especially at first. But there are many useful information resources dedicated to D3. And as a result, using this library, you can create stunning original visualizations and any graphics from scratch, which makes D3 a really worthwhile tool.
Main features
- It supports numerous types of graphs, much more than the vast majority of other JavaScript libraries (including, for example, the Voronoi diagram).
- It takes time to master. Less comprehensible and obvious than some commercial libraries in the list (for example, AnyChart). It is compensated by a huge number of tutorials and a really cool API.
- Combines powerful visualization components and a data-based approach to manipulating the DOM.
- Easy debugging using the browser exploration tool.
- A lot of examples.
- Curve generation functions.
- Drag-and-drop GUI.
Cost of
D3 is an open-source library for creating graphs and charts, which is absolutely free to use for any purpose.
Learn more about D3.js
Fusioncharts
FusionCharts is another good library for building interactive graphs and charts, with hundreds of ready-made examples. Charts from FusionCharts support data in both JSON and XML. Rendering - via HTML5 / SVG and VML.
Main features
- Dozens of types of graphs, 2D and 3D, and more than 950 maps covering all continents.
- Animated and fully interactive graphics and maps.
- Server API for ASP.NET, PHP, Ruby on Rails.
- Compatible with jQuery, Angular, PHP, ASP.NET, React Native, Django, React, Ruby on Rails, Java, etc.
- Quite a detailed user manual and description of the API.
- Many examples of graphs and dashboards.
- Support for older browsers.
- Export to PNG, JPG and PDF.
- Support - through the knowledge base and community forum.
- Unlimited priority support for users who have purchased a license.
- Clients: Apple, IBM, Google, Intel, Microsoft, PayPal, Oracle, Adobe, etc.
Cost of
Free for non-commercial use. Paid licenses for commercial use (from $ 497).
Learn more about FusionCharts
Google charts
Google Charts is a great choice for those projects where simplicity and stability of charts are preferable to complex, detailed customization settings.
Main features
- Rendering graphs in HTML5 / SVG and VML.
- Many examples of graphs, charts, dashboards.
- All graphics are interactive, some can also zoom and pan.
- Full documentation.
- Support for older browsers.
- Support via FAQ, GitHub and forum.
Cost of
Free license, but source code is not open. It does not allow Google to put JS files on your server, so it may not be suitable for you if you work with confidential data.
Learn more about Google Charts
Highcharts
Highcharts is one of the most versatile and popular JavaScript libraries for building graphs and charts in HTML5, with rendering in SVG (VML). It is lightweight, supports a wide selection of different types of visualizations and provides high performance.
Main features
- Uses pure javascript. Data can be loaded from the outside.
- Worthy documentation and description API documentation, user cases.
- Interactivity, including drilldown (the ability to analyze data "in depth").
- Can be used with React, Angular, Meteor, .NET, iOS, etc.
- Export to PNG, JPG, PDF and SVG formats.
- User support for the free version via the forum and Stack Overflow. Premium email and Skype support is available only to commercial users who hold the appropriate license.
- Clients: Visa, Yahoo !, Facebook, Twitter, Groupon, Nokia, Ericsson, Mastercard, Yandex, etc.
Cost of
Free for non-commercial use. For commercial use, you must purchase a license (from $ 50).
Learn more about Highcharts
Plotly.js
Plotly.js is a high-level JavaScript library, free and open source. Built on D3.js and WebGL. It can be used to create many different types of data visualization, including, for example, three-dimensional statistical graphs.
Main features
- 20 types of graphs and charts that can be embedded on the site or used to create dynamic presentations.
- Used as a browser-based charing library for Python, R, MATLAB, abstracting graphics into the declarative JSON structure.
- Extensive API documentation.
- Nice animation.
- Uses React.
- Export graphs to PNG and JPG. Export to EPS, SVG and PDF is available by subscription.
- Many ready-made examples.
- Can work with Excel spreadsheets or directly with your database.
- Support Forum.
Cost of
Free open source library.
Learn more about Plotly.js
Zingchart
ZingChart is a useful tool for creating interactive and adaptive charts. It is a fast and flexible library that makes it quite easy to work with big data and generate graphs with large amounts of data.
Main features
- Supports more than 30 types of graphs and charts.
- Fully customizable, with customization settings a la CSS.
- Compatible with jQuery, Angular, Node.js, PHP, etc.
- Work with data in real time, fast rendering of data sets of any size.
- Data can be downloaded via JS objects, JSON, CSV, PHP, AJAX, MySQL.
- Detailed and fairly easy-to-read API documentation.
- Free and premium support through the ZingChart Help Center, Stack Overflow, email and chat.
- Clients: Microsoft, Boeing, Adobe, Apple, Cisco, Google, Alcatel, etc.
Cost of
A branded license provides full access to the ZingChart library for free. For commercial use requires a paid license (from $ 199).
Learn more about ZingChart
Conclusion
So, I listed the best JavaScript libraries for building graphs and diagrams, at least those that I consider top. It would be very difficult to compare them all exhaustively, taking into account absolutely all parameters. Each has its pros and cons, and the choice depends largely on the skills of the developer, as well as the specific task.
Of course, there are some features, features that make one library faster, or prettier in terms of design, or more flexible than others. But, in the end, it is not so important which libraries are in the list, because in the end the best is the one that most fully meets your specific requirements within a single task.
My advice is to get acquainted with all these leading libraries at least a little closer: when you need JS charts to visualize data within a project, it is extremely likely that one or several of them will suit you best. If you want to deal with a longer list, pay attention to the
comparison in Wikipedia .
If you need to visualize data on interactive maps, where geographic trends, relationships, connections, streams, etc. are of primary importance, read my previous article on the
best JavaScript libraries for geovizualizatsii data in the form of maps (on Habré there is its
translation into Russian ) .
Have a good day and enjoy the visualization of data using JavaScript!
This is my translation of the article Top JavaScript Charting Libraries for Every Data Visualization Need , published by me earlier on Hacker Noon .