Top 6+ JavaScript Libraries for Data Visualization

This article lists the top 6+ JavaScript data visualization libraries, and provides a brief overview of each one.

JavaScript data visualization libraries allow you to create interactive and informative charts and graphs from your data. They can be used to communicate your data findings in a clear and concise way, and to make your data more engaging and accessible to your audience.

Whether you are a beginner or an experienced web developer, there is a JavaScript data visualization library out there that can help you create stunning and informative data visualizations.

1. D3.js

D3.js is a popular JavaScript data visualization library used in web development. It allows you to visualize document-based data using HTML, CSS, and SVG. D3.js gives complete freedom to the developer to design the perfect interface for data while utilizing the full capabilities of modern browsers. D3.js has more than 1.9 million weekly NPM downloads and 103K+ GitHub stars.

Features

• Includes support for declarative and data-driven programming.
• Enhances user experience by supporting animations, interactions, and data-driven charts.
• Simple customizations.
• Lightweight and fast.
• Good community support.

Installation

You can easily install D3.js using NPM or Yarn as follows:

// Using NPM
npm inst d3
// Using Yarn
yarn add d3

2. Chart.js

Chart.js is an open-source, community-maintained JavaScript data visualization library for making HTML-based charts. It allows developers to easily add dynamic and interactive graphs to applications with large data quantities. It is used by companies like Google and The New York Times in their interactive infographics. Chart.js supports only HTML5 Canvas. However, it can be viewed on any platform or web browser without having Flash or other plugins. Chart.js has more than 2.1 million weekly NPM downloads and 58K+ GitHub stars.

Features

• Excellent rendering and performance across all modern browsers.
• Responsive since it adjusts the chart to fit the window.
• Provides eight chart types.
• Various performance improvements have been introduced with version 3.
• Detailed instructions with simple-to-follow examples.

Installation

You can easily install Chart.js using NPM as follows:

// Using NPM
npm install chart.js

3. Highcharts

Highcharts is a famous data visualization library that has been around for several years. All current web browsers, including Chrome, Safari, Firefox, Opera, IE7+, and iOS, support Highcharts. In addition to the simple charts, you can use Highcharts to create stock charts, Gantt charts, and charts based on maps. Highcharts has more than 1 million weekly NPM downloads.

Features

• Supports a variety of online and mobile platforms.
• Supports data export and import.
• Supports numerous axes, tooltip labels, and external data loading.
• Provides a variety of configurations and modifications.
• Suitable with all current mobile and online browsers.

Installation

You can easily install Highcharts using NPM or Yarn as follows:

// Using NPM
npm install highcharts
// Using Yarn
yarn add highcharts

4. Recharts

Recharts is a data visualization library created using React and D3. It was primarily designed to use with web-based data applications. But now, it provides fantastic features to visualize data compared to other solutions. For example, it can render items with many information panes on the same chart and crosshairs to track values on pointer movements over data plots, data labels, data callouts, and data ranges. Recharts has more than 1.1 million weekly NPM downloads and 18.9K+ GitHub stars.

Features

• Native SVG support.
• Lightweight.
• Support for declarative building blocks.
• A simple API.
• Excellent chart customization options.

Installation

You can easily install Recharts using NPM or Yarn as follows:

// Using NPM
npm i recharts

// Using Yarn
yarn add recharts

5. Flexmonster

Flexmonster is a JavaScript library for data visualization and reporting. It provides a simple and intuitive API for creating interactive reports and dashboards with support for a wide range of data sources, including CSV, JSON, Excel, and SQL databases. Flexmonster also provides a wide range of customization options, including changing the appearance and behavior of reports and dashboards, and adding custom calculations and filters.

Features

• Easy-to-use API.
• Customizable reports and dashboards.
• Support for multiple data sources (CSV, JSON, Excel, SQL).
• Cross-platform compatibility.
• Scalable design.

Installation

You can easily install Flexmonster using NPM, as follows:

// Using NPM
npm i flexmonster

6. Chartkick

Chartkick is a JavaScript library for easily creating charts and graphs. It provides a simple API for creating various charts, including line, bar, pie, and more. Chartkick integrates with popular JavaScript charting libraries such as Highcharts, Chart.js, and Google Charts, making it easy to get started with data visualization. Chartkick has more than 1.2K GitHub stars and 70K+ weekly NPM stars.

Features

• Simple integration with popular frameworks (Ruby on Rails, Sinatra, etc.).
• A wide range of chart types (line, bar, pie, etc.).
• Dynamic updates without page refreshing.
• Support for multiple data formats (CSV, JSON, etc.).
• Customizable options (colors, labels, etc.).

Installation

You can easily install Chartkick using NPM as follows:

// Using NPM
npm i chartkick

7. Victory

Victory is an open-source library for creating data visualizations with React and React Native. It provides a comprehensive set of components for creating bar charts, line charts, scatter plots, and other data visualizations. It also has built-in support for responsive design, tooltips, and animations, making creating dynamic and interactive data visualizations for web and mobile applications easy. Victory has more than 10.2K GitHub stars and 188K+ weekly NPM downloads.

Features

• Support for multiple chart types (bar, line, scatter, etc.).
• Customizable appearance and behavior.
• Animated chart updates.
• Responsive design.
• Works well with React and React Native.

Installation

You can easily install Victory using NPM as follows:

// Using NPM
npm i victory

#javascript #datavisualization