Java is one of the most sought-after languages among software developers. According to the StackOverflow Developers Survey 2020, JavaScript language gained the 1st position, and Java scored the 5th language as the most commonly used languages among 20 programming languages among developers.

Below here, we list down the top 8 data visualisation libraries in Java and JavaScript.

(The libraries are listed according to their Stars in GitHub).

1| D3.js 

D3 (or D3.js) is one of the popular JavaScript libraries for visualising data using web standards. The library combines powerful visualisation and interaction techniques with a data-driven approach to a Document Object Model (DOM) manipulation and then apply data-driven transformations to the document. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviours for interaction and animation. 

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2| Three.js

Three.js is a popular JavaScript 3D library that tries to make it as easy as possible to get 3D content on a webpage. This library aims to create an easy to use, lightweight, 3D library with a default WebGL renderer. The library also provides Canvas 2D, SVG and CSS3D renderers in the examples.

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3| Leaflet

Leaflet is one of the best open-source JavaScript libraries for mobile-friendly interactive maps. The library is designed with simplicity, performance and usability in mind. It works efficiently across all major desktop as well as mobile platforms, taking advantage of HTML5 and CSS3 on modern browsers while being accessible.

Some of the features are-

• Leaflet includes hardware acceleration on mobile that makes it smooth on native apps
• It has smart polyline/polygon rendering with dynamic clipping and simplification which makes it very fast
• It includes a modular build system for leaving out unwanted features

Know more here.

4| Highcharts

Highcharts JS is a JavaScript charting library based on SVG, with fallbacks to VML and canvas for old browsers. The library makes it easy for developers to build interactive charts for allocating, coordinating, and displaying tasks, events and resources along a timeline.

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5| dygraphs

dygraphs is a fast, flexible open-source JavaScript charting library. The library allows users to explore and interpret dense data sets. Some of the features are-

• Supports error bands around data series
• Displays values on mouseover
• Compatible with the Google Visualisation API
• Extensive collection of options for customisation

Know more here.

6| Tablesaw

Tablesaw is Java for data science. It includes a data frame and a visualisation library, as well as utilities for loading, transforming, filtering, and summarising data. This visualisation library combines tools for working with tables as well as columns with the ability to create statistical models and visualisations. The library supports data visualisation by providing a wrapper for the Plot.ly JavaScript plotting library. Some of the features are-

• Combine tables by appending or joining
• Sort, Group, Query
• Map/Reduce operations
• Import data from RDBMS, Excel, CSV, JSON, HTML, or Fixed Width text files, whether they are local or remote (HTTP, S3, etc.)

Know more here.

7| JFreeChart

JFreeChart is a comprehensive and open-source chart library for the Java platform that can be used on the client-side such as JavaFX and Swing or the server-side with export to multiple formats including SVG, PNG and PDF. The library makes it easy for the developers to display professional quality charts in their applications. 

Some of the features are-

• JFreeChart is a consistent and well-documented API, supporting a wide range of chart types
• It has an easily extensible flexible design that targets both server-side and client-side applications
• It has support for many output types, including Swing and JavaFX components
• The library provides a consistent and well-documented API, supporting a wide range of chart types

Know more here.

8| Orson Charts

Orson Charts is a 3D chart library for the Java platform that can generate a wide variety of 3D charts for use in client-side applications (JavaFX and Swing) and server-side applications (with export to PDF, SVG, PNG and JPEG).

Some of the features are-

• It includes a clean and well-documented API with a high degree of chart configuration
• It contains multiple chart types such as pie charts, bar charts, line charts, area charts, scatter charts, etc.
• It contains configurable tooltip support
• Orson charts include mouse-enabled chart viewers in JavaFX and Swing provide 360-degree rotation and zooming for precise end-user view control

Know more here.