fatiando 0.4

Modeling and inversion for geophysics

Website | Docs | Mailing list

An open-source Python library for modeling and inversion in geophysics.

Overview

Our goal is provide a comprehensive and extensible framework for geophysical data analysis and the development of new methodologies.

Research: Fatiando allows you to write Python scripts to perform your data analysis and generate figures in a reproducible way.

Development: Designed for extensibility, Fatiando offers tools for users to build upon the existing infrastructure and develop new inversion methods. We take care of the boilerplate.

Teaching: Fatiando can be combined with the Jupyter notebook to make rich, interactive documents. Great for teaching fundamental concepts of geophysics.

Getting started

Take a look at the Documentation for a detailed tour of the library. You can also browse the Cookbook for examples of what Fatiando can do.

Dependencies

For the moment, Fatiando runs and is tested in Python 2.7. To install and run Fatiando, you’ll need the following Python packages: numpy, scipy, matplotlib, ipython, pillow, basemap, numba, future, mayavi. You’ll also need a C compiler, preferably gcc.

You can get all of these on Linux, Mac, and Windows through the Anaconda distribution. See file requirements.txt.

Installing

Download and install the latest release of Fatiando from PyPI:

pip install fatiando

or get the latest development version from Github:

pip install --upgrade https://github.com/fatiando/fatiando/archive/master.zip

Note: fatiando.__version__ has the current version number. If you install from PyPI, this will be something like '0.2'. If you installed from Github, this will be the latest commit hash. This way you can track exactly what version of Fatiando generated your results.

See the documentation for detailed instructions.

Citing

If you use it in your research, please cite Fatiando in your publications as:

Uieda, L., V. C. Oliveira Jr, and V. C. F. Barbosa (2013), Modeling the Earth with Fatiando a Terra, Proceedings of the 12th Python in Science Conference, pp. 91 - 98.

Please also cite the method papers of individual functions/classes. References are available in the documentation of each module.

See the CITATION.rst file or the Citing section of the docs for more information.

Read this blog post by Robin Wilson if you haven’t heard of CITATION files.

Getting help

Here are a few option to get in touch with us:

• Open an issue on Github

• Write to the mailing list

• Ask on the Gitter chat room

License

Fatiando a Terra is free software: you can redistribute it and/or modify it under the terms of the BSD 3-clause License. A copy of this license is provided in LICENSE.txt.