Safe: The software must preserve data integrity and precision.ĭynamic: The software must enable a dynamic link between external processing software and visualization libraries. PVGeo library to work well with other Python libraries by following theĮxtendable: This software will harness the established and robust visualization platforms ParaView and VTK, extend their functionality, and remain open-source for contributions and integration into other Python powered geoscientific processing suites. ObsPy, EarthPy, pyFLOWGO, GeoNotebook, and more.
Python is an accessible language,Įasy to learn, and popular among geoscientists using packages like: SimPEG, The VTKPythonAlgorithmBase class in Python. Rapid development of readers, sources, filters, and writers: instantiations of PVGeo module takes advantage of functionality by Kitware that facilitates the Programming languages like C++, learning new libraries to create interactive GUIĬomponents, and building the plugins into the ParaView source code. Programming endeavor, including creating CMakeLists, developing in lower level Unfortunately, theĭevelopment of plugins for the ParaView software platform may imply an ambitious In that PVGeo contains many base classes for developers to inheritįunctionality to aid in the development of new features. This development framework also focuses heavily on the open source paradigm This would allow for users of PVGeo to be able to use all of the functionalityĪs plugins in ParaView with interactive user menus or outside of ParaView beĪble to integrate with there existing data processing suites using Python and ParaView or outside in other Python environments with the VTK Python library. In developing the PVGeo repository, we decided to follow a framework ofĭevelopment that generates various sets of tools that can be used within Project Structure The Plugin Framework
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