JFreeChart vs Mafs

Overview

JFreeChart

Stacks47

Followers23

Votes2

GitHub Stars1.3K

Forks569

Mafs

Stacks1

Followers3

Votes0

GitHub Stars3.3K

Forks98

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Detailed Comparison

JFreeChart	Mafs
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.	It is a set of opinionated React components for creating interactive, animated visualizations with declarative code.
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	React components for interactive math; Build interactive, animated visualizations with declarative code
Statistics
GitHub Stars 1.3K	GitHub Stars 3.3K
GitHub Forks 569	GitHub Forks 98
Stacks 47	Stacks 1
Followers 23	Followers 3
Votes 2	Votes 0
Pros & Cons
Pros 1 Very, very customizable 1 Easy to use 0 Easy to user Cons 1 Lots of code	No community feedback yet
Integrations
Java JavaFX	React

What are some alternatives to JFreeChart, Mafs?

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.

Ant Design

An enterprise-class UI design language and React-based implementation. Graceful UI components out of the box, base on React Component. A npm + webpack + babel + dora + dva development 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.

Angular Universal

It executes on the server, generating static application pages that later get bootstrapped on the client. This means that the application generally renders more quickly, giving users a chance to view the application layout before it becomes fully interactive.

Recharts

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

Angular Material

Sprint from Zero to App. Hit the ground running with comprehensive, modern UI components that work across the web, mobile and desktop. It allows to create material styled angular apps fast and easy.

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.