:warning: WARNING: Maintenance-only mode until around the end of 2023. |
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The CDAT 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 CDAT 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 xCDAT - Xarray Extended With Climate Data Analysis Tools projects. |
CDAT builds on the following key technologies:
These combined tools, along with others such as the R open-source statistical analysis and plotting software and custom packages (e.g. DV3D), form CDAT and provide a synergistic approach to climate modeling, allowing researchers to advance scientific visualization of large-scale climate data sets. The CDAT framework couples powerful software infrastructures through two primary means:
Within both paradigms, CDAT will provide data-provenance capture and mechanisms to support data analysis.
CDAT is licensed under the [BSD-3][bds3] license.
We'd love to get contributions from you! Please take a look at the Contribution Documents to see how to get your changes merged in.