JavaFX and SteelSeries gauges using FXML

Gerrit Grunwald, aka @hansolo_ on twitter, has just ported his Swing based gauges and meters framework known as SteelSeries to JavaFX as part of the JFXtras-lab project. I can't tell you how many times since Java AWT first came out, that I have had to use meters and gauges in an application. Also, I can't count how many times I have found a dearth of open source gauge frameworks out there in the wild. Needless to say, I have been watching Gerrit's progress for several months now.  Finally, he posted his work to jxftras-lab and I have been eagerly testing ever since.

One area I wanted to see is if Gerrit's gauges worked with JavaFX FXML. JavaFX FXML is an XML-based language that provides the structure for building a user interface separate from the application logic of your code. With the numerous options that Gerrit's gauges support, this is a must have. I am happy to report with a little back and forth with Gerrit over a few days, we now have a working version that supports FXML. You'll have to download and build the latest jfxtras-lab bits from github, here.

Here is an FXML snippet showing how to define a Radial gauge in FXML. This matches Gerrit's blog, showing the same settings using Java code, here.

<Radial fx:id="radialGauge" prefWidth="280" prefHeight="280" title="Temperature" >
  <unit>°C</unit>
  <lcdDecimals>2</lcdDecimals>
  <frameDesign>STEEL</frameDesign>
  <backgroundDesign>DARK_GRAY</backgroundDesign>
  <lcdDesign>STANDARD_GREEN</lcdDesign>
  <lcdDecimals>2</lcdDecimals>
  <lcdValueFont>LCD</lcdValueFont>
  <pointerType>TYPE14</pointerType>
  <valueColor>RED</valueColor>
  <knobDesign>METAL</knobDesign>
  <knobColor>SILVER</knobColor>
  <sections>
    <Section start="0" stop="37" color="lime"/>
    <Section start="37" stop="60" color="yellow"/>
    <Section start="60" stop="75" color="orange"/>
  </sections>
  <sectionsVisible>true</sectionsVisible>
  <areas>
    <Section start="75" stop="100" color="red"/>
  </areas>
  <areasVisible>true</areasVisible>
  <markers>
    <Marker value="30" color="magenta"/>
    <Marker value="75" color="aquamarine"/>
  </markers>
  <markersVisible>true</markersVisible>
  <threshold>40</threshold>
  <thresholdVisible>true</thresholdVisible>
  <glowVisible>true</glowVisible>
  <glowOn>true</glowOn>
  <trendVisible>true</trendVisible>
  <trend>RISING</trend>
  <userLedVisible>true</userLedVisible>
  <bargraph>true</bargraph>
  <radialRange>RADIAL_300</radialRange>
  <GridPane.rowIndex>0</GridPane.rowIndex>
  <GridPane.columnIndex>0</GridPane.columnIndex>
  <GridPane.halignment>CENTER</GridPane.halignment>
  <GridPane.valignment>CENTER</GridPane.valignment>
</Radial>

 

This produced the following display:

In FXML, you create a Java controller class. For this simple example, in the controller class, Gauge.java, I created a JavaFX Timeline that iterates from the minimum to the maximum value over 10 seconds, alternating with rising and falling values. The actual Radial Gauge is represented by the "radialGauge" member of the controller that is annotated with @FXML. This allows the FXML system to match the actual JavaFX Radial Control instance to the controller member variable based on the FXML"fx:id" attribute. The initialize method of the controller class is called once the FXML system has processed the XML and created all the JavaFX Nodes.

The main JavaFX application is contained in the class SteelFX and it loads the FXML file then assigns it to the JavaFX Scene.

 

The complete code is here:

SteelFX.java

Gauge.fxml

Gauge.java

 

Views: 10772

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Embedding Atlas: Apple’s Open-Source Tool for Exploring Large-Scale Embeddings Locally

Apple has introduced Embedding Atlas, a new open-source tool for visualizing and exploring large-scale embeddings interactively. Designed for researchers, data scientists, and developers, the platform provides a fast and intuitive way to analyze complex, high-dimensional data—from text embeddings to multimodal representations—without requiring any backend infrastructure or external data upload.

By Robert Krzaczyński

GitHub Expands Copilot Ecosystem with AgentHQ

GitHub has announced AgentHQ, a new addition to its platform that aims to unify the fragmented landscape of AI tools within the software development process.

By Daniel Dominguez

Redis Critical Remote Code Execution Vulnerability Discovered After 13 Years

Redis recently released a security advisory regarding CVE-2025-49844. This critical (CVSS 10.0) use-after-free (UAF) vulnerability in Lua scripting could allow authenticated attackers to execute remote code on older versions of Redis and Valkey with Lua scripting enabled. Developers are urged to upgrade to patched releases as soon as possible.

By Renato Losio

AWS Launches Capabilities by Region Tool

AWS has launched "AWS Capabilities by Region," a powerful tool that streamlines service visibility for architects and developers. No more manual checks—now you can compare AWS services across regions interactively and plan deployments efficiently. With enhanced transparency and automated capability checks, streamline global projects and minimize delays.

By Steef-Jan Wiggers

Presentation: Achieving Precision in AI: Retrieving the Right Data Using AI Agents

Adi Polak explains the path from GenAI prototype to production by focusing on precision - the competitive edge. She details Agentic RAG architectures, emergent agent design patterns, and crucial feedback loops (LLM-as-a-judge) for refinement. Learn how to leverage data streaming (Kafka) to manage collaboration, memory, and scale microservices in real-time agent systems.

By Adi Polak

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service