Showing 7 open source projects for "graph class"

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  • 1
    Luke StackWalker is a GUI-based C/C++ source code profiler for Windows. It samples your application's stack while the application is running to find out where the application spends most of its time.
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    Downloads: 13 This Week
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  • 2
    Shiny is a lightning fast, fully documented & by-far-easiest-to-use C/C++/Lua profiler with no extensive surgery. Results are smoothed & shown in run-time as a call-tree or sorted-by-time. Output also renderable as graphs in Ogre3D or your custom engine
    Downloads: 2 This Week
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  • 3

    QCacheGrind (KCacheGrind) Windows build

    Windows prebuilt binary of QCacheGrind (better known as KCacheGrind)

    The QCacheGrind branch of KCacheGrind compiled with the QT5 toolkit for use in Windows. This tool allows visualisation of profiling data in the callgrind-format. For Xdebug (PHP), version 2.2+ of the extension is recommended. Currently built and tested in Windows 7 for x86 and x64. Please go to https://sourceforge.net/projects/kcachegrind for the source. Description from the main project: KCachegrind visualizes traces generated by profiling, including a tree map and a call...
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    Downloads: 119 This Week
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  • 4
    KCachegrind visualizes traces generated by profiling, including a tree map and a call graph visualization of the calls happening. It's designed to be fast for very large programs like KDE applications.
    Downloads: 2 This Week
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  • 5
    Generic data visualizer tool to display output of command line data sources.
    Downloads: 0 This Week
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  • 6
    FunctionCheck is a profiler for C/C++ programs, based on gcc V4.6.3+. Features are flat profile, cycles detection, call-graph, MIN/MAX time in functions, memory profiling, profiling control at execution...
    Downloads: 0 This Week
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  • 7
    wozgonon
    At an early stage of development. Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
    Downloads: 0 This Week
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