/gimli

Geophysical Inversion and Modeling Library :earth_africa:

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pyGIMLi is an open-source library for modelling and inversion and in geophysics. The object-oriented library provides management for structured and unstructured meshes in 2D and 3D, finite-element and finite-volume solvers, various geophysical forward operators, as well as Gauss-Newton based frameworks for constrained, joint and fully-coupled inversions with flexible regularization.

What is pyGIMLi suited for?

  • analyze, visualize and invert geophysical data in a reproducible manner
  • forward modelling of (geo)physical problems on complex 2D and 3D geometries
  • inversion with flexible controls on a-priori information and regularization
  • combination of different methods in constrained, joint and fully-coupled inversions
  • teaching applied geophysics (e.g. in combination with Jupyter notebooks)

What is pyGIMLi NOT suited for?

  • for people that expect a ready-made GUI for interpreting their data
Binaries (Windows)

See binaries on https://www.pygimli.org/installation.html#win

For Anaconda users (currently Linux only)

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# Add gimli and conda-forge channels (only once)
conda config --add channels gimli --add channels conda-forge

# Install pygimli
conda install pygimli

# Test pygimli
python -c "import pygimli; pygimli.test()"

# Update pygimli
conda update pygimli
Install via curl
curl -Ls install.pygimli.org | bash
Import convention
import pygimli as pg
print(pg.__version__)

Check www.pygimli.org for additional information, detailed installation instructions and many examples.

Citing pyGIMLi

More information ca be found in this paper. If you use pyGIMLi for your work, please cite as:

Rücker, C., Günther, T., Wagner, F.M., 2017. pyGIMLi: An open-source library for modelling and inversion in geophysics, Computers and Geosciences, 109, 106-123, doi: 10.1016/j.cageo.2017.07.011.

BibTeX code:

@article{Ruecker2017,
  title = "{pyGIMLi}: An open-source library for modelling and inversion in geophysics",
  journal = "Computers and Geosciences",
  volume = "109",
  number = "",
  pages = "106--123",
  year = "2017",
  issn = "0098-3004",
  doi = "10.1016/j.cageo.2017.07.011",
  url = "http://www.sciencedirect.com/science/article/pii/S0098300417300584",
  author = "Carsten R\"ucker and Thomas G\"unther and Florian M. Wagner"
}
License

pyGIMLi is distributed under the terms of the Apache 2.0 license. Details on the license agreement can be found here.