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| ParaView Glance | |
|---|---|
| Name | ParaView Glance |
| Developer | Kitware |
| Programming language | JavaScript |
| Operating system | Cross-platform |
| Genre | Scientific visualization, Web application |
| License | BSD-style |
ParaView Glance is a web-based, lightweight visualization application derived from the ParaView ecosystem, designed to enable interactive exploration of scientific datasets in modern web browsers. It targets users who require rapid, platform-independent access to rendering and analysis capabilities typical of desktop visualization tools, integrating with technologies from Kitware and leveraging standards popularized by Google and Mozilla for web graphics. The project sits at the intersection of visualization, scientific computing, and web engineering, interfacing with prominent data formats and infrastructure used by researchers at institutions like NASA, CERN, and Lawrence Livermore National Laboratory.
ParaView Glance is an application built upon the visualization stack that includes ParaView and the Visualization Toolkit (VTK), adapted for deployment via HTML5 and WebGL runtimes. Its scope encompasses rendering of VTK file formats, point clouds, and volumetric datasets produced by simulation codes from groups such as Los Alamos National Laboratory and Sandia National Laboratories. The project aligns with open source initiatives championed by organizations including Kitware, Oak Ridge National Laboratory, and contributors from academia like Stanford University and Massachusetts Institute of Technology. ParaView Glance emphasizes portability across platforms supported by vendors such as Intel, NVIDIA, and AMD.
Glance implements features common to scientific visualization suites: interactive camera controls inspired by paradigms used in Blender and ParaView, transfer function editors akin to tools in VisIt and Amira, and dataset introspection tools comparable to those in MATLAB and ParaView. It supports file formats and protocols standardized by bodies such as the OGC and implemented in projects like HDF5 and NetCDF. The application can render polygonal geometry, volumetric scalar fields, and temporal series produced by simulation codes from groups like ANSYS and OpenFOAM, while utilizing GPU acceleration techniques described in research from SIGGRAPH and implemented by drivers from Microsoft and Apple.
ParaView Glance is implemented in JavaScript and relies on WebGL for GPU-accelerated rendering, using libraries and patterns popularized by frameworks such as React and Three.js for componentization and scene management. It integrates server-side capabilities via adapters analogous to ParaViewWeb and protocols similar to gRPC or WebSocket used in high-performance computing portals like those at NERSC and XSEDE. Data handling leverages binary formats and streaming approaches inspired by HDF5 and the MPI community, while build and CI practices are influenced by tools from GitHub, Travis CI, and Jenkins.
The UI of Glance adopts responsive design principles used by platforms like Google's Material Design and frameworks applied in Mozilla projects, providing panes for properties, datasets, and viewports comparable to interfaces in ParaView and VisIt. Interaction models include mouse and touch controls supported on devices from Apple's iPad to laptops powered by Dell and Lenovo, and accessibility considerations align with guidelines promoted by W3C. Workflow patterns cater to researchers from laboratories such as Argonne National Laboratory and universities including University of California, Berkeley.
Glance serves use cases across domains cited in publications from IEEE and ACM: interactive inspection of CFD outputs from projects like OpenFOAM, visualization of cosmological simulations from teams at Princeton University and Harvard University, inspection of medical imaging datasets used in studies at Mayo Clinic and Johns Hopkins University, and outreach visualizations similar to those produced by NASA for public communication. It also functions in educational contexts at institutions such as Carnegie Mellon University and University of Michigan for coursework that parallels tools like ParaView and VisIt.
Development of Glance is driven by contributors from Kitware and volunteer developers from academic and national labs, with collaboration patterns resembling those of Linux Foundation projects and community practices seen on GitHub and during events like SciPy and Supercomputing Conference. The project benefits from pull requests, issue tracking, and continuous integration workflows similar to those used in large open source projects such as TensorFlow and Kubernetes, and engages with user communities at conferences hosted by IEEE and ACM.
ParaView Glance is distributed under permissive licensing derived from the licensing model used by ParaView and Kitware projects, facilitating integration into both academic and industrial toolchains at organizations like Siemens and Schlumberger. Distribution channels include package hosting patterns common to npm and container images analogous to those on Docker Hub, enabling deployment in cloud environments provided by Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Category:Scientific visualization software