scientific-visualization

Fast data visualization and GUI tools for scientific / engineering applications

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

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.

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

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

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

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

A python module for scientific analysis of 3D data

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

The fastest and most memory efficient lattice Boltzmann CFD software, running on any GPU via OpenCL.

WebGL protein viewer

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

Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

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

⚡ High-performance GPU interactive scientific data visualization with Vulkan

High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets

A comprehensive macromolecular library

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.

Main yt repository

Inviwo - Interactive Visualization Workshop