XHR (specifically XHR version 2) is implemented in native (C++) code in the browser and exposed as a JavaScript API. XHR is the main HTTP client built into browsers. ParaViewWeb helpers use only XHR and WebSocket for the Client based JavaScript (Web browsers). Girder: Girder provides a composable network client that simplify the interaction with Kitware’s Girder a data management system as a backend.WebSocket: WebSocket provides communication helpers for the VTK and/or ParaView Web backends.
PARAVIEW CLUSTER DOWNLOAD
Core: Core provides several download helpers to deal with pattern-based data querying of various type of data (binary array, image, text, csv, json, etc.).The IO module of ParaViewWeb aims to provide connectivity to various sources of data including the following three main types: ParaViewWeb’s interaction module, consisting of utilities to aid with user input/interaction, mouse and touch handling, makes it easier for the developer in creating captivating Web-based applications with scientific visualization. At their best, they facilitate an engaging environment for inquiry. These tools enable end-users to: focus on interesting details customize the content and modify the visualization, all while enhancing the exploration of large amounts of data. Interactive visualizations are a crucial mechanism for discovery in science, engineering and medical research. Expect to see a Sankey diagram, a specific type of flow diagram in which the width of the arrows is shown proportionally to the flow quantity, as well as other tools for annotating data in the near future.įigure 2: (a) a collapsable field selector capable of displaying field name, min value, max value and a 1D histogram, (b) 1D/2D Histograms, and (c) parallel coordinates. The visualization components also includes: 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 satisfy 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 discard 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. 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. Those applications can leverage a VTK and/or ParaView backend for large data processing and rendering, but can also be used on static Web server like Apache or NGINX, a high-performance HTTP server or even locally with command line based application using your browser. ParaViewWeb, the JavaScript library, is a Web framework to build applications with interactive scientific visualization inside the Web browser. ParaViewWeb: A JavaScript Library for Building Web-based Applications with Scientific Visualization
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