ggplot2 vs JFreeChart

Overview

ggplot2

Stacks124

Followers70

Votes0

GitHub Stars6.8K

Forks2.1K

JFreeChart

Stacks47

Followers23

Votes2

GitHub Stars1.3K

Forks569

JFreeChart vs ggplot2: What are the differences?

Developers describe JFreeChart as "A free Java chart library". 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. On the other hand, ggplot2 is detailed as "A data visualization package for the statistical programming language R". It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

JFreeChart and ggplot2 belong to "Charting Libraries" category of the tech stack.

Some of the features offered by JFreeChart are:

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

On the other hand, ggplot2 provides the following key features:

Axis titles
Tickmarks
Margins and points in ggplot2 look cooler

JFreeChart and ggplot2 are both open source tools. It seems that ggplot2 with 4.04K GitHub stars and 1.51K forks on GitHub has more adoption than JFreeChart with 456 GitHub stars and 200 GitHub forks.

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Detailed Comparison

ggplot2	JFreeChart
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.	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.
Axis titles; Tickmarks; Margins and points in ggplot2 look cooler	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 6.8K	GitHub Stars 1.3K
GitHub Forks 2.1K	GitHub Forks 569
Stacks 124	Stacks 47
Followers 70	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
MATLAB React Python SageMath Jupyter	Java JavaFX

What are some alternatives to ggplot2, 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.