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  1. Stackups
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  3. UI Components
  4. Charting Libraries
  5. JFreeChart vs MetricsGraphics.js

JFreeChart vs MetricsGraphics.js

OverviewComparisonAlternatives

Overview

MetricsGraphics.js
MetricsGraphics.js
Stacks3
Followers22
Votes2
JFreeChart
JFreeChart
Stacks47
Followers23
Votes2
GitHub Stars1.3K
Forks569

MetricsGraphics.js vs JFreeChart: What are the differences?

What is MetricsGraphics.js? D3-based library optimized for visualizing time-series data. MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

What is JFreeChart? 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.

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

Some of the features offered by MetricsGraphics.js are:

  • Line Chart
  • Multi-Line Chart
  • Few Observations

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

  • 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

MetricsGraphics.js and JFreeChart are both open source tools. MetricsGraphics.js with 7.13K GitHub stars and 498 forks on GitHub appears to be more popular than JFreeChart with 446 GitHub stars and 193 GitHub forks.

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Detailed Comparison

MetricsGraphics.js
MetricsGraphics.js
JFreeChart
JFreeChart

MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.

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.

Line Chart;Multi-Line Chart;Few Observations;Small Range of Integers;Annotations;Some Percentages;Some Currency;X-Axis Not Time, Animated;Glorious Graphic;Multi-Line Linked
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
3
Stacks
47
Followers
22
Followers
23
Votes
2
Votes
2
Pros & Cons
Pros
  • 2
    Simple
Pros
  • 1
    Very, very customizable
  • 1
    Easy to use
  • 0
    Easy to user
Cons
  • 1
    Lots of code
Integrations
D3.js
D3.js
Java
Java
JavaFX
JavaFX

What are some alternatives to MetricsGraphics.js, JFreeChart?

D3.js

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

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

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

Chart.js

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

Recharts

Recharts

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

ECharts

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

ZingChart

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

amCharts

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

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

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.

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