Showing 5 open source projects for "python data analysis"

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  • 1
    Cinemagoer

    Cinemagoer

    Python package to retrieve and manage data of the IMDb

    Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.
    Downloads: 11 This Week
    Last Update:
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  • 2

    Open|SpeedShop

    Open|SpeedShop is an open source multi platform Linux performance tool

    Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale IA64, IA32, EM64T, AMD64, PPC, Blue Gene, ARM and Cray platforms.
    Downloads: 5 This Week
    Last Update:
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  • 3

    ParTools

    Support for manual parallelization of sequential C programs.

    ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time.
    Downloads: 37 This Week
    Last Update:
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  • 4
    QUAD

    QUAD

    QUAD Memory Access Profiling Toolset

    QUAD (Quantitative Usage Analysis of Data) consists of several tools that provide a comprehensive overview of the memory access behavior of an application. The primary goal is the detection of the actual data dependencies at the function-level.
    Downloads: 0 This Week
    Last Update:
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  • 5
    A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
    Downloads: 0 This Week
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