One of the cool new features of the JavaFX 2.2 developer preview release is a new Canvas node that allows you to do free drawing within an area on the JavaFX scene similar to the HTML 5 Canvas. You can download this release for Windows, Mac, and Linux from JavaFX Developer Preview.

Being adventurous, I decided to take the JavaFX Canvas for a spin around the block. In doing some searching for cool HTML 5 Canvas examples, I came across Dirk Weber's blog comparing performance of HTML5 Canvas, SVG and  Adobe Flash,An experiment: Canvas vs. SVG vs. Flash. This looked interesting for a Canvas beginner as I am, so I decided to copy his implementation and see how it runs in JavaFX.

This turned out to be pretty straight forward. Dirk's original JavaScript application for the HTML 5 Canvas contained a spirograph drawn at the top of the screen with 4 sliders beneath it for changing the number of rotations and particles  and the inner and outer radius for the spirograph. Also, at the top is a text display showing the frames-per-second after the image is drawn. By manipulating the slider properties, the spirograph is drawn differently and each time the performance is shown in frames per second. 

To do the same thing in JavaFX,  I first created a JavaFX Application class, with a Stage and Scene and placed the Canvas at the top of the scene with 4 sliders below it followed by a Label to report the frames per second as defined in Dirk's original JavaScript implementation. One change I made to Dirk's implementation was instead of using Arrays of doubles for points, I used the JavaFX Point2D class. 

My original goal was just to become familiar with the JavaFX Canvas object, but as I played around I noticed something about the performance. When I ran Dirk's HTML 5 and Flash version I would get a consistent frame-per-second rate of 50-70 fps when I adjusted the sliders (Mac OS X 10.7.4, 2.6 GHz Intel Core 2 Duo, 4 GB ram). However, when I ran my JavaFX version, the first time after starting, it drew the spirograph in the low 40s fps. But I noticed that when I adjusted the sliders, the performance got better. First adjustment, low 80s fps; fifth adjustment, mid 120s; a few more and I was getting 1000 fps, and eventually Infinity fps. I didn't believe the Infinity reading, so I debugged to the code, only to find out that it took less than a millisecond to calculate and draw the spirograph.

I assume that this behavior reflects the Hotspot compiler kicking in after a few iterations of the Spirograph calculation. But, it sure is fast. 

The JavaFX source can be downloaded from here: 

SpiroGraph.java

SpiroCanvas.java

Views: 3911

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

Presentation: Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

By Bruno Borges

AWS Expands Well‑Architected Guidance with Data Residency and Hybrid Cloud Lens

Earlier this year, AWS launched the Well-Architected Data Residency with Hybrid Cloud Services Lens, providing guidance for hybrid cloud workloads. The lens covers data classification, operational practices, automation, and compliance, helping organizations manage data location while optimizing security, cost, and resilience.

By Leela Kumili

SIMA 2 Uses Gemini and Self-Improvement to Generalize Across Unseen 3D and Photorealistic Worlds

Google DeepMind researchers introduced SIMA 2 (Scalable Instructable Multiworld Agent), a generalist agent built on the Gemini foundation model that can understand and act across multiple 3D virtual game environments. The SIMA 2 architecture uses a Gemini Flash-Lite model trained on a mixture of gameplay and Gemini pretraining data.

By Vinod Goje

Article: Stop Guessing, Start Improving: Using DORA Metrics and Process Behavior Charts

Delivery performance rarely changes in a straight line. Small degradations caused by tooling, environment instability, or team changes can accumulate quietly, while real improvements take time to emerge. This article shows how combining DORA metrics with Process Behavior Charts helps teams zoom out, detect meaningful shifts early, and validate improvement hypotheses.

By Egor Savochkin

SharePoint Framework 1.22 Ships with Heft-Based Build Toolchain and Refreshed Project Baseline

Microsoft has announced the general availability of SharePoint Framework (SPFx) version 1.22, a release centered on modernising the build and tooling experience for SPFx developers. This shift marks a foundational update to how SPFx solutions are built, aimed at addressing technical debt, improving extensibility, and aligning with broader Microsoft toolchain standards.

By Edin Kapić

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service