Fatiando provides Python libraries for data processing, modeling, and inversion across the Geosciences.
It is built by a community of geoscientists and software developers with a passion for well-designed tools and helping our peers.
All of our code is free and open-source, distributed under the permissive BSD 3-clause license.
Looking for an overview? A good place to start is this recorded example (~20 min) that uses our tools to download, process, and interpolate public domain gravity data from the Bushveld Complex in South Africa.
No time for a video? You can also browse the Jupyter notebook used in the example.
New to Python? We provide links to excellent free resources for starting your Scientific Python journey.
Used Fatiando for research? Please cite our tools in your publications.
Source code for this demonstration: leouieda/2021-06-22-gfz
Verde offers spatial data processing and interpolation (gridding) with a sprinkling of machine learning.
Vertical ground velocity in California interpolated from GPS data with and
without weights based on data uncertainty.
Pooch is the easiest way to download data files to your computer.
It is used to manage sample data downloads not only by our own tools but also other popular Scientific Python libraries: scikit-image, MetPy, xarray, SHTOOLS, satpy, icepack, histolab, yt, napari, and more.
import pooch
import xarray as xr
# The Digital Object Identifier of the data
doi = "10.6084/m9.figshare.13643837"
# Known MD5 checksum (from figshare)
checksum = "md5:16c94a792003714efee2bdb4f3181d3a"
# Download the netCDF file and check integrity
fname = pooch.retrieve(
url=f"doi:{doi}/australia-ground-gravity.nc",
known_hash=checksum,
)
# fname is the path to the file
data = xr.load_dataset(fname)
Running this code multiple times will only result in a single download because the data are cached where Pooch can find it.
Harmonica is our library for processing, forward modeling, and inversion of gravity and magnetic data. Our goal is to incentivise good practices by carefully designing the software and offering state-of-the-art methods with efficient implementations.
Residual gravity disturbances of the Bushveld Complex, South Africa,
gridded to a uniform height with equivalent sources.
Boule defines reference ellipsoids for calculating normal gravity of the Earth and other planetary bodies (Moon, Mars, Venus, Mercury).
Normal gravity of the WGS84 ellipsoid calculated at the Earth's surface using
an analytical expression (no free-air correction required).
Ensaio makes it easy to download our open-access sample datasets. It taps into the Fatiando a Terra FAIR data collection which is designed for use in tutorials, documentation, and teaching.
A sample of the datasets available in Ensaio. From the top-left: gravity, geoid
height, bathymetry, GPS velocity, global relief, and magnetic anomaly.
We are always happy to welcome anyone who is interested in getting involved! Whether it be coding, teaching, designing, or just hanging out. Come say “Hi! 👋🏾” on Slack or at our next online gathering.
Getting involved in open-source can be great way to meet new people, improve your coding skills, and make an impact in your field.
Happy community members at a Fatiando Community Call.
2021/09/01: Documentation for the Python 2.7 fatiando package has been moved to legacy.fatiando.org.
2021/09/01: Fatiando is now on LinkedIn! Give our page a follow to keep up with the latest releases, events, and other news.
2021/05/20: Santiago, Agustina, and Leo gave a talk to the Geophysical Society of Houston about using Fatiando for potential field data (slides are available).
Weekly Fatiando Development Calls: we discuss various aspects of the
project. All are welcome, regardless of skill level and prior knowledge!
Notes and connection details:
fatiando/community
AGU 2021: Going to the AGU Fall Meeting? Come to our talk! Details at
fatiando/agu2021.
Latest releases:
