Search Results for "data" - Page 4
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Showing 91 open source projects for "data"
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SciGraphica is a scientific data visualization and analysis application, supplying many of the basic plotting features for 2D and 3D charts. It features opening several worksheets and plots to work with at the same time and PS output.
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Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
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The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.
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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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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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Geomatrix, collection of C/C++ libraries to be used for symbolic description of n-dimensional geometric models. Operates internally with a representation that constructs complex objects based on primitives, allowing loss-less modifcation of models.
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Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.
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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.
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VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.
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MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
