Software Alternatives, Accelerators & Startups

GPU.JS VS Apache Wicket

Compare GPU.JS VS Apache Wicket and see what are their differences

GPU.JS logo GPU.JS

Single-file JavaScript library for GPU acceleration

Apache Wicket logo Apache Wicket

HelloWorld demonstrates the basic structure of a web application in Wicket. A Label component is used to display a message on the home page for the application. In all the Wicket examples, you have to put all files in the same package directory.
  • GPU.JS Landing page
    Landing page //
    2021-09-20
  • Apache Wicket Landing page
    Landing page //
    2021-07-22

GPU.JS features and specs

  • Performance Boost
    GPU.JS leverages the power of the GPU to perform computations, potentially offering significant performance improvements over CPU-based computations, especially for parallelizable tasks.
  • JavaScript Integration
    GPU.JS is built for JavaScript environments, allowing easy integration into existing JavaScript projects without the need for external languages or complex setups.
  • Ease of Use
    The library provides a high-level API that abstracts much of the complexity associated with writing GPU code, making it more accessible to developers who might not be familiar with GPU programming.
  • Cross-Platform
    GPU.JS runs in the browser and on Node.js, allowing developers to write platform-independent code that can execute on both client and server environments.
  • Real-Time Processing
    By utilizing GPU acceleration, GPU.JS can handle real-time data processing tasks efficiently, which is beneficial for applications such as simulations, data visualizations, and animations.

Possible disadvantages of GPU.JS

  • Compatibility Limitations
    Not all machines or environments have accessible or functional GPU capabilities, which can limit the potential execution environment for applications built with GPU.JS.
  • Learning Curve
    Although GPU.JS simplifies GPU programming, developers still need to understand parallel processing concepts to fully leverage its capabilities, which might be challenging for those unfamiliar with such paradigms.
  • Debugging Challenges
    Debugging GPU code can be more complex than CPU debugging, and errors may be more difficult to trace and resolve due to the abstraction layer and parallel nature of execution.
  • Overhead
    For smaller tasks, the overhead of transferring data between the CPU and GPU might outweigh the performance benefits, making it inefficient for certain applications.
  • Limited API
    While GPU.JS provides a good high-level API, it might not expose all the lower-level functionalities and optimizations available in more mature GPU computing frameworks.

Apache Wicket features and specs

  • Component-based architecture
    Apache Wicket follows a component-based architecture, allowing developers to create reusable components that can be easily maintained and improved over time.
  • POJO-driven development
    Wicket promotes Plain Old Java Object (POJO) development, which simplifies the creation of web applications by reducing the need for extensive XML configurations and boosting productivity with familiar Java paradigms.
  • HTML-centric design
    The framework allows developers to start with pure HTML and then add dynamic behavior, leading to cleaner separation of concerns and easier markup manipulation.
  • Strong type checking
    Wicket provides strong type checking at compile time, which leads to fewer runtime errors and increases code safety and reliability.
  • Built-in AJAX support
    Wicket seamlessly integrates AJAX functionality, allowing developers to create rich internet applications with minimal effort.

Possible disadvantages of Apache Wicket

  • Steep learning curve
    The component-based approach and the specific conventions used in Wicket might require a significant learning period, especially for those who are new to component-driven web frameworks.
  • Less popularity
    Although Wicket has a dedicated community, it is not as widely adopted as some other Java web frameworks, which might result in fewer resources, tutorials, and third-party integrations.
  • Statefulness
    Wicket's stateful nature can lead to increased memory usage and potentially slower performance compared to stateless web frameworks, which might be important for applications with a large number of concurrent users.
  • Complexity in large applications
    As the size and scope of a Wicket application grow, the complexity of managing components and their interactions can also increase, making it harder to maintain without careful planning and architecture.

GPU.JS videos

GPU.js - GPGPU in your browser

Apache Wicket videos

Apache wicket: 1 start

More videos:

  • Review - Apache wicket: 12 LifeCycle

Category Popularity

0-100% (relative to GPU.JS and Apache Wicket)
Javascript UI Libraries
100 100%
0% 0
Web Frameworks
0 0%
100% 100
JS Library
48 48%
52% 52
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GPU.JS and Apache Wicket

GPU.JS Reviews

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Apache Wicket Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
Tapestry is a component-based Java framework with which you can create scalable web applications. Its focus on reusable components makes it architecturally similar to Jakarta Faces and Apache Wicket (see both above). Like Struts and Wicket, Tapestry is also a project of the Apache Software Foundation.
Source: raygun.com
10 Best Java Frameworks You Should Know
Apache Wicket is a component-based application development framework developed by Jonathan Locke. It is one of the most recently developed Java frameworks.

Social recommendations and mentions

GPU.JS might be a bit more popular than Apache Wicket. We know about 11 links to it since March 2021 and only 10 links to Apache Wicket. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GPU.JS mentions (11)

  • Running GPT-2 in WebGL: Rediscovering the Lost Art of GPU Shader Programming
    Imho there are js libraries which goes through the traditional rendering based shader path to emulate general purpose computations on the GPU, gpu.js for example https://gpu.rocks/#/. - Source: Hacker News / 4 months ago
  • Chrome Ships WebGPU
    How will this compare to Gpu.js? https://gpu.rocks/. - Source: Hacker News / over 2 years ago
  • New Release: 0 A.D. Alpha 26: Zhuangzi (Open Source Ancient Warfare RTS)
    Https://gpu.rocks/#/ Sorry, this is barely gameplay related, just interested if that could be kept synced. - Source: Hacker News / about 3 years ago
  • Show HN: GPU-accelerated โ€œlava lampโ€ based on universal function approximator
    You can refresh the page to get a different random generator function. This code uses the great gpu.js library (https://gpu.rocks) to speed things up. The basic idea is to generate colors for each pixel at each given time step by running a randomly-generated function. The function is influenced by the concept of neural nets as universal function approximators. Basically, it takes the pixel x/y coordinates and some... - Source: Hacker News / almost 4 years ago
  • Use your BฬถRฬถAฬถIฬถNฬถ GPU
    Website nowadays have high end graphics and requires a lot of processing power so it might be a good IDEA to utilize the power of GPU. It might sound complicated but its really simple actually. Because there are many library out there to help you out. For example GPU.js. It also switch backs to regular mode if the user device don't have a GPU so no worries there. So get started now by reading the DOCS. - Source: dev.to / almost 4 years ago
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Apache Wicket mentions (10)

  • Show HN: Latudio โ€“ a language acquisition app with a listening-oriented approach
    - like Sentences exercise, but you can select your own set of sentences. You can also set goals and view statistics about your progress. None of this would be possible without the great help from hundreds of our contributors [3], who translated, mapped and recorded content. All the content you find in the app was reviewed multiple times by several people and recordings are made by native speakers. No story in the... - Source: Hacker News / 10 months ago
  • We're breaking up with JavaScript front ends
    Sort of sounds like Apache Wicket (https://wicket.apache.org/). I used it for a few projects in the mid-late 2000s. I really liked it being server side and the concept of having object-oriented HTML (code paired with HTML snippets). I haven't had a need to use it since 2014, so haven't kept up with the project. - Source: Hacker News / almost 3 years ago
  • Can I use Java to build a website?
    You can use Java for Backend and Frontend. A relative new kid on the block for Frontend is Qute. The general keyword you are searching for is Java Templating Engine. Specific examples would be Thymeleaf or FreeMarker. There are some framework, which offer a lot more than templating like Vaadin or Wicket. Some are just specifications like Jakarta Faces with some of their implementations MyFaces or Mojarra. Source: almost 3 years ago
  • Getting back into Java after 12-15 years away?
    Perhaps, a good competitor for JSF is Apache Wicket. Source: about 3 years ago
  • Options for high level front-end frameworks for Java developers
    I have used https://wicket.apache.org/ in the past and I think it matches your needs. It's a simple mvc that focuses on the actual java code writing and uses html only on the layout of your components in your page. Source: over 3 years ago
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What are some alternatives?

When comparing GPU.JS and Apache Wicket, you can also consider the following products

Angular.io - Angular is a JavaScript web framework for creating single-page web applications. The code is free to use and available as open source. It is further maintained and heavily used by Google and by lots of other developers around the world.

Grails - An Open Source, full stack, web application framework for the JVM

WebMonkeys - JavaScript library for massively parallel GPU programming

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

gpgpu.js - JavaScript library to use the GPU in the browser through WebGL

Vaadin Framework - Vaadin is a web application framework for Rich Internet Applications (RIA).