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Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., gridding).
Our core interpolation methods are inspired by machine-learning. As such, Verde implements an interface that is similar to the popular scikit-learn library. We also provide other analysis methods that are often used in combination with gridding, like trend removal, blocked/windowed operations, cross-validation, and more!
Getting started
New to Verde? Start here!
Need help?
Ask on our community channels
Reference documentation
A list of modules and functions
Using Verde for research?
Citations help support our work
See also
Verde is a part of the Fatiando a Terra project.