Search Results for "big data visualization" - Page 2
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Showing 36 open source projects for "big data visualization"
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clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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File-Spector is a small, fast and easy to use binary file analyzer and Inspector. It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.
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Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.
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Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
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Chartshare is a computer based system for the production, analysis, and distribution of Standard Celeration Charts (http://www.celeration.org).
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Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
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Rocksnake takes localities from geological mapping projects and plots them in 2D, over an optional basemap. Each locality has all the standard geology notebook contents and photos attached to it which can then be viewed from Rocksnake.
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ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.
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Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.