Data visualization is undoubtedly the most important part of any data-driven business. It makes data clear at a glance and can also help uncover hidden trends or patterns that might not be obvious. While there are many different ways to visualize data, choosing the right one can be difficult. Also, the many JavaScript libraries for data visualization make it difficult to choose the right data visualization tool.
So, in this post, we will go through some of the best 19 Javascript graph visualization libraries we can use and see which one is the best for our project.
D3. js
D3 is one of the most popular JS libraries, not only for generating dynamic, interactive data visualizations in web browsers, but also for animation, data analysis, geography, and data utilities. Uses Scalable Vector Graphics (SVG), HTML5, and Cascading Style Sheets (CSS) standards.
D3 binds data to the DOM and its elements, enabling you to manipulate the visualization by changing the data.
GitHub：https://github.com/d3
Recharts
Recharts is a popular data visualization library that uses React. It uses D3 under the hood and exposes declarative components. Recharts is very lightweight and can render SVG elements to create beautiful interactive charts. You can make a variety of different types of charts while still allowing Highly customizable as needed. The API and sample documentation for Recharts is very comprehensive.
GitHub：https://github.com/recharts/recharts
Victory
Victory is a ReactJS library for building interactive data visualizations. It relies on d3 for powerful low-level math, Radium for inline style management, and React for most everything else.
Victory is a modular charting component designed specifically for React and React Native for easy cross-platform charting. Do a good job of providing the fundamentals for creating diagrams. Things like axis customization, labeling, passing different datasets for a single graph are easy, and tweaking styles and behaviors is easy and intuitive.
GitHub：https://github.com/FormidableLabs/victory
React-vis
React-vis is Uber's open source data visualization library. Based on React and d3, the React-vis library is very easy to install and use, and has excellent documentation supported by Uber. You can quickly create popular charts, such as line charts, area charts, bar charts, pie charts, tree charts, etc. React-vis is light, animation is simple and smooth. It also allows writing custom diagrams based on existing elements.
GitHub：https://github.com/uber/react-vis
V-Chart
V-Chart is a great all-around tool for creating general-purpose charts with simple data configurations. It is based on Vue2.x and echarts, and only needs to provide a unified configuration item that is friendly to both the front and rear ends of the data format, and can easily generate common charts.
GitHub：https://github.com/ElemeFE/v-charts
Vue.js
Vue is a progressive JavaScript framework for building user interfaces. It is built on top of standard HTML, CSS, and JavaScript, and provides a declarative and component-based programming model to help efficiently develop user interfaces, whether simple or complex.
GitHub： https: //github.com/vuejs
Chartkick
Chartkick is a chart drawing tool, which is a great tool for Vue, featuring a beautiful UI and easy to use. The reason why it is easy to use is that only one line of Ruby code is needed to draw beautiful charts!
GitHub: https://github.com/ankane/chartkick
Flexmonster
Flexmonster is a powerful JavaScript tool for visualizing business data that can visualize complex business information on web applications. It supports Microsoft Analysis Services OLAP cubes, Mondrian, icCube, Salesforce, SAP, SQL (MS SQL, MySQL and many others) static or database CSV files.
GitHub：https://github.com/flexmonster/react-flexmonster
WebDataRocks
WebDataRocks is an embeddable web pivot table written in JavaScript. It is a lightweight component. You can use it in your web applications and build interactive reports based on your data. It can be viewed on mobile and desktop clients. It is intended for less technical end users, but offers advanced customization options for developers.
GitHub：https://github.com/WebDataRocks
ApexCharts
ApexCharts is a fairly neat SVG charting library with Vue.js and React wrappers, and the library allows customization and comes with comprehensive documentation.
According to Juned Chhipa, the creator of ApexCharts, the library was created to make it easier to zoom, pan, scroll through data, place informative annotations on the chart, and more.
GitHub：https://github.com/apexcharts
Chart.js
Chart.js is a free JavaScript library for making HTML-based charts. It is one of the easiest JavaScript visualization libraries and comes with many built-in chart types. It is lightweight and allows building responsive charts using the HTML5 Canvas element.
GitHub：https://github.com/chartjs/Chart.js
echarts
This library created by Baidu is very useful for JavaScript data visualization for the web. It's well documented in English and works great for large datasets. It also supports SVG and canvas rendering.
GitHub：https://github.com/apache/echarts-examples
Strike charts
Frappe Charts is a modern open source SVG charting component, a very simple charting library for zero dependencies. A package inspired by GitHub-like visuals that supports line charts, bar charts, and other types of charts.
GitHub：https://github.com/frappe/charts
Level
Nivo is a beautiful framework built on D3 and React that provides 2017 different types of components to present data.
Nivo offers many customization options and three rendering options: Canvas, SVG, API-based HTML. The documentation is excellent, and the demos are configurable and fun. This is a high-level library, very simple, but has less potential for custom visualizations.
GitHub: https://github.com/plouc/nivo
Google Charts
Google Charts is a pure JavaScript-based charting library designed to enhance web applications by adding interactive charting capabilities. Google Charts offers a wide variety of charts. For example, line charts, spline charts, area charts, bar charts, pie charts, etc. It's free, but not open source.
GitHub：https://github.com/google/charts
AmCharts
AmCharts is a set of JavaScript-based data visualization libraries, including common chart types such as Serial, Pie, etc. And advanced versions like stock charts and maps. Amcharts can extract data from simple CSV or XML files, and can also read and generate dynamic data, such as PHP, .NET, Ruby on Rails and Perl, and many other programming languages.
GitHub：https://github.com/amcharts/amcharts4
CanvasJS
CanvasJS is an easy-to-use HTML5 and Javascript charting library that builds on the Canvas element.
CanvasJS is a core chart creator library that enables users to create rich UI dashboards and charts that work across all devices without impacting web application functionality or maintenance. Users can easily create responsive, dynamic, renderable, lightweight and rich UI dashboards using CanvasJS.
GitHub：https://github.com/tsur/canvasjs
Highcharts
Highcharts is a charting library written in pure JavaScript, which can easily and conveniently add interactive charts to web sites or web applications, and is free for personal learning, personal websites and non-commercial use.
The types of charts supported by Highcharts include line charts, curve charts, area charts, histograms, pie charts, scatter point charts, instrument charts, bubble charts, waterfall charts, etc. There are as many as 20 charts, many of which can be integrated in the same Form a mixed graph in one graph.
GitHub: https://github.com/highcharts/highcharts
ZoomCharts
ZoomCharts is a JavaScript/HTML charting library that adds visually rich, interactive charts to applications with a minimal amount of code. Use ZoomCharts with any server-side programming language (including .NET, PHP, Java, Ruby, etc.) and any client-side framework (including AngularJS, jQuery, etc.).
ZoomCharts is canvas-based, and with the same data and settings, the library works 20 times faster than its SVG-based competitors with default settings.
GitHub：https://github.com/zoomcharts
Tips
SovitChart is a very good online building tool for data visualization applications. Based on Echarts research and development, it provides rich templates and graphics, supports multiple data sources, drag-and-drop layout, and supports cloud and local deployment. Through rich component libraries and template libraries, as well as intelligent auxiliary means, the construction threshold for non-professional developers is greatly reduced. Overall, it is a very good visual large-screen design product, and the personal version is free. There are also 2D configuration visualization platform - Sovit2D and 3D IoT visualization platform - Sovit3D.
The growing number of data visualization libraries proving the importance of visualization to the entire web is very exciting! I hope this list helps you create beautiful visualizations for future projects.