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A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.
Free and open-source software portal; This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software".
LabPlot is a data analysis and visualization application built on the KDE Platform. MFEM is a free, lightweight, scalable C++ library for finite element methods. Origin, a software package that is widely used for making scientific graphs. It comes with its own C/C++ compiler that conforms quite closely to ANSI standard.
Origin Workbook with sparklines above data columns; this allows a quick glance of the data without plotting them. Origin is primarily a GUI software with a spreadsheet front end. Unlike popular spreadsheets like Excel, Origin's worksheet is column oriented. Each column has associated attributes like name, units and other user definable labels.
Rossmo's formula is a geographic profiling formula to predict where a serial criminal lives. It relies upon the tendency of criminals to not commit crimes near places where they might be recognized, but also to not travel excessively long distances.
Build and visualize molecule and periodic systems (crystal, structures, fluids...), animate trajectories, visualize molecular orbitals, density, electrostatic potential... visualize graph such IR, NMR, dielectric and optical tensors. Molden: MM XRD: Proprietary, free use academic [12] Molecular Operating Environment (MOE) HM MD MM NA QM SMI XRD ...
The project started in 1991 as Visualization Data Explorer. OpenDX can produce 3D images with the quantities plotted as color or gray-scale coded, or as vectors, streamlines and ribbons. It allows the object to be sliced to obtain a view of the internal structure, and then represent the data on this slice plane as a height-coded graph.
Vaa3D is able to render 3D, 4D, and 5D data (X, Y, Z, Color, Time) quickly. The volume rendering is typically at the scale of a few gigabytes and can be extended to the scale of terabytes per image set. The visualization is made fast by using OpenGL directly. Vaa3D handles the problem of large data visualization via several techniques.
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