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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]
glue, as working visualization software, was created and realized in 2012, after being described as a work-in-progress in Principles of High-Dimensional Data Visualization in Astronomy. [ 2 ] Using glue, users can create scatter plots , histograms , tables, and images (2D and 3D) of their data. glue is focused on the brushing and linking ...
Vega is used in the back end of several data visualization systems, for example Voyager. [4] [5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair, [6] to make
[4] [5] This allows Asymptote to be used as a 3D vector file format. Asymptote is also notable for having a graphical interface coded in Python (and the Tk widget set), xasy.py – this allows an inexperienced user to quickly draw up objects and save them as .asy source code which can then be examined or edited by hand.
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 ...
In version 3.7.2, a package manager was added to allow the easier installation of extension packages. [6] Some functionality that used to be included with Weka prior to this version has since been moved into such extension packages, but this change also makes it easier for others to contribute extensions to Weka and to maintain the software, as this modular architecture allows independent ...
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.
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.