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**Data visualisation and ray tracing in Python based on NVIDIA OptiX framework.**
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`Docs <https://plotoptix.rnd.team>`__
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- Check what we are doing with PlotOptiX on `Behance <https://www.behance.net/RnDTeam>`__, `Facebook <https://www.facebook.com/rndteam>`__, and `Instagram <https://www.instagram.com/rnd.team.studio/>`__.
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- Join us on `Patreon <https://www.patreon.com/rndteam?fan_landing=true>`__ for news, release plans and hi-res content.
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Check `examples on GitHub <https://github.com/rnd-team-dev/plotoptix/tree/master/examples>`__ for practical code samples and `documentation pages <https://plotoptix.rnd.team>`__ for a complete API reference.
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PlotOptiX is a set of CUDA shaders by `R&D Team <https://rnd.team>`_ wrapped in C#/C++ libraries with a Python API. PlotOptiX is based on `NVIDIA OptiX 7.5<https://developer.nvidia.com/optix>`_ framework and makes use of RTX-capable GPU's.
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PlotOptiX is a set of CUDA shaders by `R&D Team <https://rnd.team>`_ wrapped in C#/C++ libraries with a Python API. PlotOptiX is based on `NVIDIA OptiX 7.6<https://developer.nvidia.com/optix>`_ framework and makes use of RTX-capable GPU's.
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You can quickly display data in a simple plot:
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- *geometries*: particles (spheres), parallelepipeds, parallelograms, tetrahedrons, linear segments, bezier curves, b-splines; *meshes*: shaded surface or wireframe, automatically generated from a parametric surface or f(x,y) data, or defined with vertices and faces, e.g. created with `pygmsh <https://github.com/nschloe/pygmsh>`__, or loaded from a file, e.g. supported by `trimesh <https://github.com/mikedh/trimesh>`__, or loaded from a Wavefront .obj file with a native loader
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- *materials*: flat, diffuse, reflective, refractive; including: light dispersion, surface roughness and metalness, volume scattering, and nested volumes
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- *light sources*: spherical and parallelogram, light emission in volumes, uniform environmental light or environment map
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