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VisuAlFroG

Visual Analytics Framework for Grasshopper

Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. Build GitHub License Windows DaRUS DOI

Description

VisuAlFroG is a framework that provides various visualizations to support visual analytics for the algorithmic modelling software Grasshopper. Grasshopper for its part is a plug-in of the commercial 3D computer graphics and computer-aided design application software Rhinoceros (short Rhino3D). The basic architecture of VisuAlFroG consists of a core framework providing general functionality and a module-based extension mechanism that easily allows to integrate new visualizations. New custom visualizations can be based on the following existing visualization libraries: WPF, SciChart, d3.js, and Bokeh. Predefined standard visualizations like Scatter Plot, Line Chart, Column/Bar Chart, and Parallel Coordinates Plot (PCP) are already provided based on the SciChart library.

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Documentation

  • The Installation Guide provides useful information on how to build from source code and how to install the binary files to be used in Grasshopper.
  • The Developer Guide provides detailed information on how to add custom visualizations, for example.

License

See the license file. The VisuAlFroG Developer Team holds the copyright and consists of all people listed as contributors of this repository.

Dependencies

There are no external dependencies included in this repository. They are downloaded during building of the software from source code via NuGet package manager and are used unmodified. The licenses of the external dependencies allow to redistribute them in the compiled form of the software.

Citation

Choose from GitHub citation prompt Cite this repository on the right for different formats. The citation is based on the Citation Cite Format (CFF) and has been generated with CFFINIT.

Acknowledgements

  • This project is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2120/1 – 390831618
  • Thank you to SciChart for their great open source vizualization library and for allowing to distribute licensed SciChart as part of the compiled form of this software.
  • Thank you to the Bokeh Development Team(Anaconda, Inc., and Bokeh Contributors) for their great open source vizualization library.
  • Thank you to Mike Bostock for the great d3 open source data visualization library.
  • Thank you to Craiyon AI image generator for the nice VisuAlFrog logo 😆

visualfrog's People

Contributors

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Stargazers

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Watchers

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visualfrog's Issues

fix hard coded python path

PythonInterface for Bokeh cannot be used by others due to hard coded Python path in ...VisFroG\PythonInterface\PythonInterfaceService.cs

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