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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".
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.
Version 1.0.0 was released in 2014. In the same year the tool won the "Most Beautiful" award at the Kantar Information is Beautiful Awards 2014 organized by David McCandless. [4] In 2017 the project was re-launched thanks to private support. [5] It changed the license from LGPL to Apache 2 and the project name to "RAWGraphs".
The Trade Space Visualizer is a data visualization tool developed at the Applied Research Laboratory (ARL) at The Pennsylvania State University. Initial development started in 2002, and it is currently supported by a team at ARL/Penn State.
Avizo is a software application which enables users to perform interactive visualization and computation on 3D data sets. The Avizo interface is modelled on the visual programming . Users manipulate data and module components, organized in an interactive graph representation (called Pool), or in a Tree view .
VTK was initially created in 1993 as companion software to the book The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics. [7] The book and software were written by three researchers (Will Schroeder, Ken Martin and Bill Lorensen) on their own time and with permission from General Electric (thus the ownership of the software resided with, and continues to reside with, the authors).
ParaView is an open-source, multi-platform data analysis and visualization application. ParaView is known and used in many different communities to analyze and visualize scientific data sets. [ 2 ] It can be used to build visualizations to analyze data using qualitative and quantitative techniques.
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 ...
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