CDAT
Community Data Analysis Tools (CDAT) is a freely available software infrastructure usedfor the analysis, visualization, and management of large-scale distributed climate (and other) data. It is designed for gridded datasets but can also cope with other types.
Below are some key features of CDAT:
- the software is open-source, consisting of a collection of Python modules.
- conda install available for multiple platforms.
- a choice of interfaces: command-line, scripting or graphical user-interface (Visual CDAT (VCDAT)).
- an XML-based format and tools for aggregating large datasets.
- manipulation of large data arrays possible due to use of Python Numeric package.
CDAT Documentation
- Homepage https://cdat.llnl.gov/
- Code Citiation: DOI: 10.5281/zenodo.592766
- Code on GitHub: https://github.com/CDAT/cdat
- Installation https://github.com/CDAT/cdat/wiki/install
- Getting Started https://github.com/CDAT/cdat/wiki/Getting-Started
- Jupyter Tutorials https://cdat.llnl.gov/tutorials.html
- Exmaple Plots with Code https://cdat.llnl.gov/gallery.html