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: 10774

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

QConAI NY 2025 - Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability through the blend of probabilistic and deterministic systems. He argued for clear operational structures to minimize risks and optimize performance, highlighting the importance of specialized agents and deterministic paths to enhance accuracy and control in AI workflows.

By Andrew Hoblitzell

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

Recently open-sourced by Google, Metrax is a JAX library providing standardized, performant metrics implementations for classification, regression, NLP, vision, and audio models.

By Sergio De Simone

AWS Introduces Regional Availability for NAT Gateway

AWS has recently introduced regional availability for the managed NAT Gateway service. The new capability allows developers to create a single NAT Gateway that automatically spans multiple availability zones (AZs) in a VPC, providing high availability, eliminating the need to define separate gateways and public subnets in each zone.

By Renato Losio

Decathlon Switches to Polars to Optimize Data Pipelines and Infrastructure Costs

Decathlon, one of the world's leading sports retailers, recently shared why it adopted the open source library Polars to optimize its data pipelines. The Decathlon Digital team found that migrating from Apache Spark to Polars for small input datasets provides significant speed and cost savings.

By Renato Losio

AWS Expands Well-Architected Framework with Responsible AI and Updated ML and Generative AI Lenses

At AWS re:Invent 2025, AWS expanded its Well-Architected Framework with a new Responsible AI Lens and updated Machine Learning and Generative AI Lenses. The updates provide guidance on governance, bias mitigation, scalable ML workflows, and trustworthy AI system design across the full AI lifecycle.

By Leela Kumili

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service