Search Results for "data visualization"

Over 1,000,000 page views per month. Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other...

Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. ...

xeogl is an open source JavaScript library from xeolabs for 3D model visualization on WebGL. It gives you tools to create interactive 3D worlds in your browser. Load models from formats like glTF or OBJ, or generate them programmatically. Navigate them with the camera and script them with Javascript, to build compelling 3D presentations. Load multiple models. Isolate/move/emphasize objects. Camera navigation controls. Camera animations (flyto, follow, path etc). Emphasis effects (wireframe,...

This is a short C++/Java/C#/Python benchmark. Based on Paul Heckbert's sources. Thank you Paul!

WebDX is a framework for deploying OpenDX applications over the web.

Emma (Extensible Multi Media Architecture) is an open-source, modular, extensible, dynamic framework for declarative authoring and display of 2D and 3D interactive multimedia. It uses Lua for scripting and Ogre3D for rendering. http://www.emma3d.org

The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab