uvcdat.llnl.govspotlightllnlgov - Lawrence Livermore National Laboratory

Gallery Installing Documentation Getting Started CDMS Utilities VCS Tutorials Wiki Contact Releases Changelog Release Announcements -- Community Data Analysis Tools is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for data analysis problems. Welcome to ! New here? Don’t worry! We’ll help you get started. If you’re interested in what you can do with , you can take a look at our gallery . If you’re interested in anything you see there, you can look into getting our application installed . Once has been installed, check out our Getting Started guide. We'll give you a hand. Having trouble with something? We’ve got a great community of people who can give you a hand on our support email list. We're on GitHub! If you want to get to know us, you can come chat with us on our developer mail list . If you want to get up to speed with the project, our wiki is kept up-to-date with what you need to get going. The Project builds on the following key technologies: Python and its ecosystem (e.g. NumPy, Matplotlib); Jupyter Notebooks and iPython; A toolset developed at LLNL for the analysis, visualization, and management of large-scale distributed climate data; VTK, the Visualization Toolkit, which is open source software for manipulating and displaying scientific data. These combined tools, along with others such as the R open-source statistical analysis and plotting software and custom packages (e.g. DV3D), form and provide a synergistic approach to climate modeling, allowing researchers to advance scientific visualization of large-scale climate data sets. The framework couples powerful software infrastructures through two primary means: Tightly coupled integration of the Core with the VTK infrastructure to provide high-performance, parallel-streaming data analysis and visualization of massive climate-data sets (other tighly coupled tools include VCS, DV3D, and ESMF/ESMP); Loosely coupled integration to provide the flexibility of using tools quickly in the infrastructure such as ViSUS or R for data analysis and visualization as well as to apply customized data analysis applications within an integrated environment. Within both paradigms, will provide data-provenance capture and mechanisms to support data analysis. is licensed under the BSD-3 license. U.S. Sponsors Project Information Mission Governance Acknowledgements Contribute GitHub Project Page Wiki Report a Bug Press Presentations Publications Reports Info Animations Design Documents Use Cases AIMS • LLNL • Privacy & Legal Notice • LLNL-WEB-460691 • Site Issues • Contact...