Displaying 1 to 13 from 13 results

Silk

  •    CSharp

Silk.NET is your one-stop-shop for high-speed .NET multimedia, graphics, and compute; providing bindings to popular low-level APIs such as OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, and DirectX. Silk.NET works on any .NET Standard 2.0 compliant platform, including .NET 5.0, Xamarin, .NET Framework 4.6.1+, and .NET Core 2.0+.

vedo - A python module for scientific analysis of 3D objects based on VTK and numpy

  •    Python

vedo is a lightweight and powerful python module for scientific analysis and visualization of 3d objects. Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers.

yt - Main yt repository

  •    Python

yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. We've written a method paper you may be interested in; if you use yt in the preparation of a publication, please consider citing it.




datoviz - ⚡ High-performance GPU interactive scientific data visualization with Vulkan

  •    C

Datoviz is an open-source high-performance interactive scientific data visualization library leveraging the graphics processing unit (GPU) for speed, visual quality, and scalability. It supports both 2D and 3D rendering, as well as minimal graphical user interfaces (using the Dear ImGUI library). Written in C, Datoviz has been designed from the ground up for performance. It provides native Python bindings (based on Cython). Bindings to other languages could be developed thanks to community efforts (Julia, R, MATLAB, Rust, C#, and so on). Datoviz uses the Vulkan graphics API created by the Khronos consortium, successor of OpenGL. Supporting other modern graphics API, such as WebGPU, would constitute interesting developments.

chart-fx - 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

  •    Java

The chart-fx charting library is an extension in the spirit of Oracle's XYChart and performance/time-proven JDataViewer charting functionalities. Emphasis was put on plotting performance for both large number of data points and real-time displays, as well as scientific accuracies leading to error bar/surface plots, and other scientific plotting features (parameter measurements, fitting, multiple axes, zoom, ...). The library also contains a small set of math routines that can operate directly on the DataSet primitive for fitting, computing spectra, linear algebra, FIR/IIR filtering, and other functionalities common to signal processing.

itk-jupyter-widgets - Interactive Jupyter widgets to visualize images in 2D and 3D

  •    Python

Interactive Jupyter widgets to visualize images in 2D and 3D. These widgets are designed to support image analysis with the Insight Toolkit (ITK), but they also work with other spatial analysis tools in the scientific Python ecosystem.


tomviz - Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data

  •    C++

The Tomviz project is developing a cross platform, open source application for the processing, visualization, and analysis of 3D tomographic data. It features a complete pipeline capable processing data from alignment, reconstruction, and segmentation through to displaying, visualizing, and interacting with 3D reconstructions of tomographic data. Many of the data operators are available as editable Python scripts that can be modified in the interface to experiment with different techniques. The pipeline can be saved to disk, and a number of common file formats are supported for importing and exporting data. The Tomviz project was founded by Marcus D. Hanwell and Utkarsh Ayachit at Kitware, David A. Muller (Cornell University), and Robert Hovden (University of Michigan), funded by DOE Office of Science contract DE-SC0011385.

WriteVTK.jl - Julia module for writing VTK XML files.

  •    Julia

This module allows to write VTK XML files, that can be visualised for example with ParaView. The data is written compressed by default, using the CodecZlib package.

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

  •    Javascript

Primarily developed by Kitware and Epidemico. GeoJS is intended to bridge the gap between GIS, Geospatial Visualization, Scientific Visualization and Infovis. GeoJS is more than just a GIS library as users can create scientific plots such as vector and contour and can embed infovis plots using D3.js. GeoJS aims for high-performance visualization and interactive data exploration of scientific and geospatial location aware datasets. GeoJS supports features such as Point, Line, Polygon, and advanced features such as Pixelmap, Contour, Heatmap, and Choropleth.

yt_astro_analysis - yt astrophysical analysis modules

  •    Python

This is yt_astro_analysis, the yt extension package for astrophysical analysis. This is primarily machinery that used to be in yt's analysis_modules. These were made into a separate package to allow yt to become less astro-specifc and to allow these modules to be developed on their own schedule. Full installation documentation can also be found here.

hydrofunctions - A suite of convenience functions for working with hydrology data in an interactive Python session

  •    Python

A suite of convenience functions for exploring water data in Python. Read the Users Guide for more details.






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