scientific-visualization

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

Fast data visualization and GUI tools for scientific / engineering applications

The Open Toolkit library is a fast, low-level C# wrapper for OpenGL, OpenAL & OpenCL. It also includes windowing, mouse, keyboard and joystick input and a robust and fast math library, giving you everything you need to write your own renderer or game engine. OpenTK can be used standalone or inside a GUI on Windows, Linux, Mac.

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Sequential model-based optimization with a `scipy.optimize` interface

A python module for scientific analysis of 3D data based on VTK and Numpy

pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Next-gen fast plotting library running on WGPU using the pygfx rendering engine

an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies

A comprehensive macromolecular library

⚡ Datoviz: high-performance GPU rendering for scientific data visualization

Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

WebGL protein viewer

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.

PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry

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