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OpenGL

151
158
+ 1
0
Panda3D

9
28
+ 1
6
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Pros of OpenGL
Pros of Panda3D
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    • 2
      Excellent software reliability
    • 1
      Supports browser deployment
    • 1
      Free, open-source, and permissive license
    • 1
      Powerful profiling and debugging tools
    • 1
      Supports most popular Physics Engines
    • 0
      Will be very easy for developers already familiar with

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    Cons of OpenGL
    Cons of Panda3D
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      • 1
        Direct3D Support is Behind
      • 1
        No Unified EditingProgram
      • 1
        Developer isn't Very Competent
      • 1
        Limited Tutorial

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      - No public GitHub repository available -

      What is OpenGL?

      It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering.

      What is Panda3D?

      It is a game engine that includes graphics, audio, I/O, collision detection, and other abilities relevant to the creation of 3D games.

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      What companies use OpenGL?
      What companies use Panda3D?
      See which teams inside your own company are using OpenGL or Panda3D.
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      What tools integrate with OpenGL?
      What tools integrate with Panda3D?
        No integrations found

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        What are some alternatives to OpenGL and Panda3D?
        WebGL
        It is integrated completely into all the web standards of the browser allowing GPU accelerated usage of physics and image processing and effects as part of the web page canvas. Its elements can be mixed with other HTML elements.
        OpenCL
        It is the open, royalty-free standard for cross-platform, parallel programming of diverse processors found in personal computers, servers, mobile devices and embedded platforms. It greatly improves the speed and responsiveness of a wide spectrum of applications in numerous market categories including gaming and entertainment titles, scientific and medical software, professional creative tools, vision processing, and neural network training and inferencing.
        CUDA
        A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
        GPU.js
        Automatically compile simple JavaScript functions into shader language and run them on the GPU. In case a GPU is not available, the functions will still run in regular JavaScript.
        See all alternatives