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Showing 10 open source projects for "project-ascp"
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giza
A scientific plotting library for C/Fortran built on cairo
A 2D scientific plotting library built on cairo. Provides uniform output to pdf, ps, png and X-Windows. Written in C with no dependencies (other than cairo) as a direct replacement for PGPLOT. -
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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gMol
gMol molecular graphics
We've moved to https://github.com/tjod/gMol/wiki gMol is an interactive visualization system used to display and manipulate 3-dimensional models of scientific data, such as molecular structures and surfaces. It contains both OpenGL and web browser widgets that enable flexible user interfaces. -
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Molecular Graphics and Dynamics. Molecular model builder. Part of the Ascalaph Designer http://sourceforge.net/projects/asc-designer/ project. Windows & Linux.
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F.EN.I.A. is a Fortran 95 library providing rich graphical output of 2D and 3D scientific data in the SVG and VTK (.vtp) formats. The output can be viewed with cross-platform, open-source viewers like Inkscape, Firefox and Paraview.
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FRIDA (flexible rapid interactive data analysis) is a generic program for manipulating, fitting, and plotting x,z,y data. It is primarily aimed at spectral analysis, especially in neutron scattering. Note: project has moved away from sf.net.
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This library is a Fortran 95 gnuplot interface for some Unix like OS'es. This provides some routines that enables direct access of a child gnuplot session from a Fortran 95 program. You will need a copy of fortranposix to make this work.
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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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Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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