Displaying 1 to 6 from 6 results

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.