Showing 7 open source projects for "python data analysis"

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  • 1
    AquaTerm is a Mac OS X grahics renderer. It allows command line applications written in ObjC, C, FORTRAN, Lisp, Perl or Python to display vector graphics, text and images using a simple API. Adapters for gnuplot, PGPLOT, and PLplot exists as well.
    Downloads: 5 This Week
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  • 2

    xlsLib

    C++/C library to construct Excel .xls files in code.

    A multiplatform C++ library for dynamic generation of Excel .xls files containing multiple worksheets. Unlike .csv files, these can be directly opened by Excel and thus provide an excellent way to output large data sets that require further analysis. To see the latest changes, select "Files" and view the README text displayed at the bottom of that pane. IMPORTANT: Major changes are contained in the current SVN source. If you have time please try to use it or the xlslib-package-2.4.0b1.zip archive, and enter bug reports on any problems! ...
    Downloads: 13 This Week
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  • 3
    Native FITS viewer/IRAF image server for Mac OS X.
    Downloads: 0 This Week
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  • 4
    GNUexp
    GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.
    Downloads: 0 This Week
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  • 5
    QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
    Downloads: 0 This Week
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  • 6
    An easy way for single crystal structure analysis. Graphical software for single crystal structure refinement. CRYSTALBUILDER uses SHELXL-97 software for the refinement and makes directly possible the molecular structure visualization.
    Downloads: 0 This Week
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  • 7
    RITCode is an analysis tool for captured eye tracker video files. It allows the scientist to analyze eye movements and characteristics of the scene. It has been created by the Rochester Institute Of Technology Visual Perception Lab.
    Downloads: 0 This Week
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