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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 ".
NodeXL is a network analysis and visualization software package for Microsoft Excel 2007/2010/2013/2016. [2] [3] The package is similar to other network visualization tools such as Pajek, UCINet, and Gephi. [4] It is widely applied in ring, mapping of vertex and edge, and customizable visual attributes and tags.
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.
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 ".
Mondrian is a general-purpose statistical data-visualization system, for interactive data visualization. All plots in Mondrian are fully linked, and offer various interactions and queries. Any case selected in a plot in Mondrian is highlighted in all other plots.
Download QR code; Print/export ... Free data visualization software (21 P) Pages in category "Free data analysis software"
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.
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.
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