Showing 234 open source projects for "python data analysis"

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  • 1
    A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
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  • 2
    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.
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  • 3
    The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org
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  • 4

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data.
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  • 5
    PixLab is a peculiar raster-based graphic editor giving one more additional drawing aspect to an artist. Not only traditional elements of painting, such as color and shape, but also artist's brush dynamics is fixed and displayed.
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  • 6
    Darxen is a utility that archives, parses, and displays nexrad radar data from the national weather service. The feature set will be comparable to many proprietary solutions available, but darxen is entirely free and open source.
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  • 7
    Geotag Merge is designed to combine track data from a GPS unit with EXIF data in a series of photographs. A handheld GPS can be simply carried while taking photos, and the photos can later be automatically gettagged (by matching timestamps).
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  • 8
    Agaseous-NES is a graphic app for creating integrated circuit layers. Developers can import Agaseous for SuperWikia Alpha .AJA (Agaseous Joint Application) text files to automate & create asauna plates. Also imports and intergrate Adobe .PSD files.
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  • 9
    The goal of the work is to design and implement a tool for interactive visualization of scientific data. The assumed application of the tool is the exploratory analysis of results of computer performance benchmarks.
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