Datashader

Accurately render even the largest data

Datashader is a graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly. Datashader breaks the creation of images into a series of explicit steps that allow computations to be done on intermediate representations. This approach allows accurate and effective visualizations to be produced automatically without trial-and-error parameter tuning, and also makes it simple for data scientists to focus on particular data and relationships of interest in a principled way.

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Bringing GPU support to Datashader: A RAPIDS case study | by Jon Mease | RAPIDS AI | Medium