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2. Category:Free data visualization software - Wikipedia

   en.wikipedia.org/wiki/Category:Free_data...

   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".

3. List of information graphics software - Wikipedia

   en.wikipedia.org/wiki/List_of_information...

   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.

4. RAWGraphs - Wikipedia

   en.wikipedia.org/wiki/RAWGraphs

   RAWGraphs is a web-based open-source data visualization software made in JavaScript. It employs D3.js for the creation of editable visualizations in SVG format. History

5. Grafana - Wikipedia

   en.wikipedia.org/wiki/Grafana

   Free and open-source software portal; Grafana is a multi-platform open source analytics and interactive visualization web application.It can produce charts, graphs, and alerts for the web when connected to supported data sources.

6. Orange (software) - Wikipedia

   en.wikipedia.org/wiki/Orange_(software)

   Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

7. ParaView - Wikipedia

   en.wikipedia.org/wiki/ParaView

   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.