Skip to main content

Modeling and inversion for geophysics

Project description

Fatiando a Terra

Website and documentation: www.fatiando.org

Development documentation: www.fatiando.org/dev

Mailing list (get updates and ask for help): groups.google.com/d/forum/fatiando

Latest version on PyPI Travis CI build status Test coverage status doi:10.5281/zenodo.157746

Overview

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

Research: Make your research more reproducible by writing a Python script or Jupyter notebook instead of clicking through complicated menus.

Development: Don’t start from scratch! Build upon the existing tools in Fatiando to develop new methods.

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

Getting started

  1. Install Fatiando and its dependencies.
  2. Browse the Gallery and Cookbook for examples of what Fatiando can do.
  3. Take a look at the Documentation for a detailed reference of the library.
  4. Get involved in the development through our Developer Guide.

Participating and asking for help

Subscribe to our Google Groups mailing list to stay informed and ask for help: groups.google.com/d/forum/fatiando

We’ll post updates to the list about new releases and features, events, and future plans for the project. Get involved to help us shape the project and make it even better!

Another option for reaching out and reporting bugs is to open an issue on Github.

We have an open development process where everything is discussed through Github issues. Anyone can comment and give feedback. See our Roadmap for v1.0 to get a feeling for where the project is headed. Your input is welcome!

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.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
fatiando-0.5.tar.gz (566.5 kB) Copy SHA256 hash SHA256 Source None Nov 27, 2016
fatiando-0.5.zip (610.1 kB) Copy SHA256 hash SHA256 Source None Nov 27, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page