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In scientific visualization, line integral convolution (LIC) is a method to visualize a vector field (such as fluid motion) at high spatial resolutions. [1] The LIC technique was first proposed by Brian Cabral and Leith Casey Leedom in 1993. [2]
MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows).
Comparison of vector graphics editors; A few online editors using vector graphics for specific needs have been created. [citation needed] This kind of creative interfaces work well together with data visualization tools like the ones above. [citation needed]
C++, Qt, extensible via Python modules BALL: Molecular dynamics MM NMR: LGPL open-source: Standalone program [7] Cn3D: Free open-source: ... cavity visualization ...
Has feature set for scalar, vector, and tensor field visualization. VisIt handles 2D and 3D data. VisIt also has the ability to animate data, allowing users to see the time evolution of their data. Provides qualitative and quantitative visualization and analysis. VisIt provides support for derived fields, which allow new fields to be calculated ...
With the array calculator, new variables can be computed using existing point or cell field arrays. A multitude of scalar and vector operations are supported. Advanced data processing can be done using the Python Programmable filter with VTK, NumPy, SciPy and other Python modules. Data can be probed at a point or along a line.
VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python.The toolkit is created and supported by the Kitware team. VTK supports a various visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting ...
The GPlates Python library (pyGPlates) enables access to GPlates functionality via the Python programming language. It allows users to use GPlates in a programmatic way and aims to provide more flexibility than the GPlates desktop interface can offer. The pyGPlates is available on Conda (conda-forge channel). The latest pyGPlates release is 0. ...