We maintain several Python projects which are in various stages of development: from early design to polished and published products. We’ll also be adding new projects to our toolkit in the future (see how you can get involved).
Spatial data processing and interpolation (gridding) using Green's functions (or radial basis functions) with a machine learning inspired interface.
Processing and modeling gravity and magnetic data, like terrain correction, upward continuation, equivalent layers, 3D inversion, and more.
Manages the download of sample data files over HTTP from a server and storing them in a local directory. Used by our other libraries.
Download geophysical models and datasets (PREM, CRUST1.0, ETOPO1) and load them into Python. Relies on Pooch to manage the downloads.
All Fatiando projects are made by scientists and volunteers who generously donate their time and attention. Here are some of the ways in which you can help support the project and give back to the community:
We want your help! Fatiando is a community-developed project, so it’s people like you that make it useful and successful. There may be a little voice inside your head that is telling you that you’re not ready; that your skills aren’t nearly good enough to contribute. What could you possibly offer? We assure you that the little voice in your head is wrong.
Being a contributor doesn’t just mean writing code. There are many ways to contribute:
fatiando package?It still exists!
While development of the fatiando library has stopped (in favor of
our new libraries),
you can still view the
documentation for the last release (v0.5)
and the source code archive on Github.
The library will remain archived and usable for the foreseeable future.
To get a sense for the reasoning behind the choice to abandon fatiando, please read
this blog post.