A Python framework for solving inverse problems.
Documentation | Install | API Contact
This package in early stages of design and implementation.
We are at the stage of defining the design and goals of the project. We welcome any ideas and participation from the community! Let us know by submitting issues on Github or send us a message on our Gitter chatroom.
- Provide APIs on two levels: a high-level scikit-learn like API for users of inversions and lower-level API for developers of inversions.
- Python 3 from the start.
- Agnostic of the forward operator calculation.
- Provide tools to automate as much as possible (finite-difference derivatives, goal function normalization, etc).
- Flexible low-level API that allows complete customization of the inversion process.
- Most discussion happens on Github. Feel free to open an issue or comment on any open issue or pull request.
- We have chat room on Gitter where you can ask questions and leave comments.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Please read our Contributing Guide to see how you can help and give feedback.
We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not ready to be an open source contributor; 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. Equality important contributions include: writing or proof-reading documentation, suggesting or implementing tests, or even giving feedback about the project (including giving feedback about the contribution process). If you're coming to the project with fresh eyes, you might see the errors and assumptions that seasoned contributors have glossed over. If you can write any code at all, you can contribute code to open source. We are constantly trying out new skills, making mistakes, and learning from those mistakes. That's how we all improve and we are happy to help others learn.
This disclaimer was adapted from the MetPy project.
- [Fatiando a Terra](http://www.fatiando.org)
- [SimPEG](http://simpeg.xyz/)
- [pyGMILi](https://www.pygimli.org/)
This 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.