uvcdat.llnl.govCDAT - Community Data Analysis Tools

Gallery Installing Documentation Getting Started CDMS Utilities VCS Tutorials Wiki Contact Releases Changelog Release AnnouncementsCommunity 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. Warning The library is now in maintenance-only mode, with plans for deprecation and cease of support around the end of calendar year 2023. Until this time, the dependencies for specific packages (`cdms2`, `cdat_info`, `cdutil`, `cdtime`, `genutil`, `libcdms`) will be monitored to ensure they build and install in Conda environments. We currently support Python versions 3.7, 3.8, 3.9, and 3.10. Unfortunately, feature requests and bug fixes will no longer be addressed. If you are interested in an alternative solution, please check out the xarray and x - Xarray Extended With Climate Data Analysis Tools projects. 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 • Learn about the Department of Energy’s Vulnerability Disclosure...