Fastplotlib is a new GPU-accelerated scientific plotting library that aims to simplify scientific visualization, leveraging WGPU. It addresses challenges such as high-dimensional datasets, computational bottlenecks, limited interactive tools, and real-time analysis barriers. The library offers GPU-accelerated visualization, rapid prototyping, exploration of large-scale data, and real-time acquisition systems. Unique to fastplotlib is its emphasis on dynamic and interactive visualizations, as demonstrated by the covariance matrix example. The API design focuses on easy data interaction and event handling. Leveraging modern graphics hardware is critical for high-performance visualizations, with fastplotlib built on top of pygfx and utilizing Vulkan, Metal, and DX12 graphics APIs.
https://medium.com/@caitlin9165/fastplotlib-driving-scientific-discovery-through-data-visualization-418f8bff094c