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Chart-FX

LGPL-3.0Java11.3.1

A high-performance JavaFX charting library for real-time scientific data visualization, handling up to 5 million data points at 25 Hz.

GitHubGitHub
613 stars110 forks0 contributors

What is Chart-FX?

ChartFx is a high-performance scientific charting library for JavaFX, optimized for real-time visualization of large datasets up to 5 million data points at 25 Hz update rates. It is a complete rewrite of JavaFX's default chart implementation, designed to overcome performance bottlenecks while providing extensive features for scientific and financial applications. The library includes a flexible plugin system, a comprehensive math sub-library, and supports various plot types like error bars, histograms, and contour plots.

Target Audience

Scientists, engineers, and developers working on real-time data visualization applications in fields like digital signal processing, physics, finance, and lab instrumentation. It is particularly suited for JavaFX-based control room UIs and applications requiring high-performance rendering of large datasets.

Value Proposition

Developers choose ChartFx for its exceptional performance with large datasets, extensive scientific charting features, and flexible plugin system. It offers up to two orders of magnitude better performance than JavaFX's default charts while maintaining compatibility and extensibility, making it ideal for demanding real-time visualization scenarios.

Overview

A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.

Use Cases

Best For

  • Real-time visualization of large datasets (up to 5 million points) at high update rates
  • Scientific applications requiring error bars, contour plots, or histograms
  • Financial charting with candlestick, OHLC, and footprint charts
  • Digital signal processing and lab instrumentation UIs
  • JavaFX-based control room interfaces for physics experiments
  • Applications needing interactive data editing and parameter measurements

Not Ideal For

  • Web or mobile applications needing cross-platform charting outside the Java ecosystem
  • Projects with small, static datasets where simpler chart libraries like JavaFX's default charts would suffice
  • Teams without JavaFX experience or those facing strict module system constraints in JDK 9+
  • Applications requiring full 3D charting visualization beyond 2D projections

Pros & Cons

Pros

High-Performance Real-Time Updates

Achieves 25 Hz update rates for datasets up to 5 million points using a Canvas backend, with performance up to two orders of magnitude better than JavaFX's default charts in tests.

Comprehensive Scientific Chart Types

Supports error bars, contour plots, heatmaps, histograms, and polar plots, along with financial charts like candlesticks, tailored for digital signal processing and lab instrumentation.

Extensible Plugin System

Includes built-in plugins for zoom, pan, data editing, and parameter measurements (e.g., rise-time, RMS), and allows custom plugin development for added interactivity.

Integrated Math Library

Comes with a math sub-library for FFTs, filtering, fitting, and linear algebra, reducing dependency on external libraries for common scientific computations.

Cons

Complex JavaFX Module Setup

Requires specific JVM flags and module adjustments to run, as detailed in the README, which can be cumbersome for developers unfamiliar with JavaFX's module system post-JDK 9.

Raw Performance Still Lags Alternatives

The README admits that despite improvements, JavaFX graphics performance remains behind libraries like Qt Charts in direct comparisons, especially for very high-frequency updates.

Limited Ecosystem and Documentation

Focused on scientific and financial niches, with a smaller community and reliance on sample code rather than comprehensive tutorials, which may slow onboarding.

Frequently Asked Questions

Quick Stats

Stars613
Forks110
Contributors0
Open Issues23
Last commit5 months ago
CreatedSince 2019

Tags

#scientific-visualization#hacktoberfest#data-visualisation#real-time-visualization#performance-optimization#signal-processing#java#javafx#data-visualization#financial-charts#charting-library#charting-libraries#canvas-rendering

Built With

M
Maven
C
Canvas
J
JavaFX
J
Java

Included in

Java47.5k
Auto-fetched 7 hours ago

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