Showing 8 open source projects for "qt data visualization"

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  • 1
    TextureAtlas Toolbox

    TextureAtlas Toolbox

    A powerful, free and open-source tool for TextureAtlases/Spritesheets

    TextureAtlas Toolbox is an all-in-one solution for working with texture atlases and sprite sheets. Extract sprites into organized frame collections and GIF/WebP/APNG animations, generate optimized atlases from individual frames, or convert between 15+ atlas formats. Perfect for game developers, modders, and anyone creating showcases of game sprites. Formerly known as TextureAtlas to GIFs and Frames Licensed under AGPL-3.0 Third-party licenses: See...
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    Downloads: 16 This Week
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  • 2
    FreeImage is a library project for developers who would like to support popular graphics image formats (PNG, JPEG, TIFF, BMP and others). Some highlights are: extremely simple in use, not limited to the local PC (unique FreeImageIO) and Plugin driven!
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    Downloads: 2,264 This Week
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  • 3
    Python library for parsing, processing and linearising VRML97 files
    Downloads: 0 This Week
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  • 4
    The Scientific Visualization Artist Tools (SVAT) include converters from the Visualization Toolkit (VTK) to RenderMan Interface Bytestream (RIB) (ASCII and binary files supported), Blender to RenderMan, compilable RenderMan shaders and other utilities.
    Downloads: 0 This Week
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  • 5
    This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.
    Downloads: 0 This Week
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  • 6
    PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!
    Downloads: 0 This Week
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  • 7
    Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
    Downloads: 0 This Week
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  • 8
    This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.
    Downloads: 0 This Week
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