Overview

Google Charts

Stacks122

Followers214

Votes0

JFreeChart

Stacks47

Followers23

Votes2

GitHub Stars1.3K

Forks569

Google Charts vs JFreeChart: What are the differences?

Google Charts and JFreeChart are two popular tools used for creating interactive charts and graphs on websites. Both have their own strengths and weaknesses, making them suitable for different types of projects. Below are the key differences between Google Charts and JFreeChart.

1. **Data Source**: One major difference between Google Charts and JFreeChart is their data source compatibility. Google Charts can directly fetch data from Google Sheets, making it easier to update and maintain data. In contrast, JFreeChart requires the data to be manually fed into the program, making it more suitable for static datasets.

2. **Integration**: Google Charts can be easily integrated into websites using JavaScript without the need for any external libraries. On the other hand, JFreeChart is a Java library that requires server-side processing, making it more suitable for serverside applications or desktop applications.

3. **Customization Options**: Google Charts offer a wide range of customization options through their API, allowing developers to create visually appealing and interactive charts with ease. JFreeChart, on the other hand, provides extensive customization options but requires more coding expertise to implement them effectively.

4. **Chart Types**: While both Google Charts and JFreeChart support a variety of chart types, Google Charts offer a wider range of customizable chart types including tree maps, gauges, and geo maps. JFreeChart is more focused on traditional chart types like bar charts, line charts, and pie charts.

5. **License**: Google Charts is free to use for both commercial and non-commercial projects, making it a cost-effective solution for many developers. JFreeChart, on the other hand, is released under the GNU Lesser General Public License, which may have implications for some commercial projects.

6. **Community Support**: Google Charts being a product of Google has a large and active community providing support, documentation, and updates regularly. JFreeChart, while it has a dedicated user base, may not have as extensive community support as Google Charts.

In Summary, Google Charts and JFreeChart differ in their data source compatibility, integration methods, customization options, supported chart types, licensing, and community support.

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Detailed Comparison

Google Charts	JFreeChart
It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.	It is a free Java chart library that makes it easy for developers to display professional quality charts in their applications. It has a consistent and well-documented API, supporting a wide range of chart types.
charts; visualization; pie-chart; bar-chart; svg; animation;	Flexible design that is easy to extend, and targets both server-side and client-side applications; Support for many output types, including Swing and JavaFX components, image files (including PNG and JPEG), and vector graphics file formats (including PDF, EPS and SVG); open source or, more specifically, free software
Statistics
GitHub Stars -	GitHub Stars 1.3K
GitHub Forks -	GitHub Forks 569
Stacks 122	Stacks 47
Followers 214	Followers 23
Votes 0	Votes 2
Pros & Cons
No community feedback yet	Pros 1 Very, very customizable 1 Easy to use 0 Easy to user Cons 1 Lots of code
Integrations
No integrations available	Java JavaFX

What are some alternatives to Google Charts, JFreeChart?

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.