Codetown ::: a software developer's community
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:
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.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics stack built on OpenTelemetry Protocol (OTLP), the OpenTelemetry Collector, and VictoriaMetrics' vmagent. The resulting system now ingests over 100 million samples per second in production.
By Claudio Masolo
With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production.
By Sergio De Simone
Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.
By Leela Kumili
Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.
By Mariia Bulycheva
InfoQ recently spoke with key members of the Spring team about the significant architectural and functional advancements in Spring Framework 7 and Spring Boot 4. This conversation explores the strategic shift toward core resilience by integrating features such as retry and concurrency throttling directly into the framework, alongside the performance benefits of modularizing auto-configurations.
By Karsten Silz, Phil Webb, Sam Brannen, Rossen Stoyanchev, Mark Pollack, Martin Lippert, Michael Minella
© 2026 Created by Michael Levin.
Powered by
You need to be a member of Codetown to add comments!
Join Codetown