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  2. Vega and Vega-Lite visualisation grammars - Wikipedia

    en.wikipedia.org/wiki/Vega_and_Vega-Lite...

    Free and open-source software portal; Vega and Vega-Lite are visualization tools implementing a grammar of graphics, similar to ggplot2.The Vega and Vega-Lite grammars extend Leland Wilkinson's Grammar of Graphics [2] by adding a novel grammar of interactivity to assist in the exploration of complex datasets.

  3. Pure Data - Wikipedia

    en.wikipedia.org/wiki/Pure_Data

    Pure Data (Pd) is a visual programming language developed by Miller Puckette in the 1990s for creating interactive computer music and multimedia works. While Puckette is the main author of the program, Pd is an open-source project with a large developer base working on new extensions.

  4. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python , R , MATLAB , Perl , Julia , Arduino , JavaScript [ 1 ...

  5. 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".

  6. 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.

  7. Data USA - Wikipedia

    en.wikipedia.org/wiki/Data_USA

    The codebase, much like the underlying data itself, is made open-source on GitHub under a GNU Affero General Public License v3.0. [11] The visualizations found on Data USA are created using D3plus, a library built on top of D3.js that enables quick visualization development by providing default styles and helper functions and classes.

  8. IBM OpenDX - Wikipedia

    en.wikipedia.org/wiki/IBM_OpenDX

    The project started in 1991 as Visualization Data Explorer. OpenDX can produce 3D images with the quantities plotted as color or gray-scale coded, or as vectors , streamlines and ribbons. It allows the object to be sliced to obtain a view of the internal structure, and then represent the data on this slice plane as a height-coded graph.

  9. VTK - Wikipedia

    en.wikipedia.org/wiki/VTK

    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 ...