The visualization components also include: a field selector, one-dimensional (1D) histograms, and parallel coordinates. It implies the knowledge obtained about one random variable via the other random variable. The mutual information of two random variables is a measure of the mutual dependence between the two variables. ParaViewWeb has a mutual information diagram (depicted in Figure 1). Currently, these visualization components demonstrate various types of information visualization. The visualization components module is a set of interactive tools for exploring and visualizing data that share the same API (setContainer/resize/render/destroy). These visualization components can be integrated into a Web-based workbench-like environment that provides new interfaces to support discovery, exploration, filtering and analysis. Each component highlights one of the many possible ways of viewing datasets like the one presented in Figure 1. ParaViewWeb offers a collection of visualization components to illustrate patterns and structure in large data sets. The common module provides core data model and helpers to intelligently enhance the data model in the presence of certain components and capabilities, which include: color handling, offscreen canvas, WebGL utilities and the various data model extensions to hold the state for a number of visualization components and UI widgets.įigure 1: Mutual information Chord Diagram for the 2014 - 2015 NBA season player statistics. In ParaViewWeb, we aim to make the simplest, most general data model that satisfies the concrete requirements of the Web-based application with scientific visualization. The data model defines how data and components are associated with each other. ParaViewWeb provides several modules that application developers will find useful for building a modern Web-based application with scientific data and visualization. The developer simply extracts the capabilities and features they need, and discards the rest in quickly building their next-generation Web-based application with scientific visualization. This capability allows ParaViewWeb contributors to gather all expertise in the form of components, UI, data handling and algorithms for Web-based scientific visualization within ParaViewWeb, the JavaScript library, without any unwanted cost to the end applications leveraging the library.
#Paraview 3d visualization code#
The all new ParaViewWeb has embraced the next-generation of JavaScript specifications, which allow better code reuse across projects without forcing unnecessary code bloat into the developers application.
You can even build local command line tools and use your browser to interact with your application. Those applications can leverage a VTK and/or ParaView backend for large data processing and rendering, but can also be used on a static Web server like Apache or NGINX. ParaViewWeb, the JavaScript library, is a Web framework to build applications with interactive scientific visualization inside the Web browser.
A JavaScript Library for Building Web-based Applications with Scientific Visualization
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