pygimli 1.6.1

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

Installation

pyGIMLi can be installed with many different package managers (e.g., pip, conda, uv, etc.). Please refer to these instructions for more details.

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 can 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},
  pages = {106--123},
  year = {2017},
  doi = {10.1016/j.cageo.2017.07.011},
  url = {https://www.sciencedirect.com/science/article/pii/S0098300417300584},
  author = {R\"ucker, C. and G\"unther, T. and Wagner, F. M.}
}

License

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

Credits

We use or link some third-party software (beside the usual tool stack: cmake, gcc, boost, python, numpy, scipy, matplotlib) and are grateful for all the work made by the authors of these awesome open-source tools:

• libkdtree++: Maybe abandoned, mirror: https://github.com/nvmd/libkdtree

• meshio: https://github.com/nschloe/meshio

• pyplusplus: https://pypi.org/project/pyplusplus/

• pyvista: https://docs.pyvista.org/

• suitesparse, umfpack: https://people.engr.tamu.edu/davis/suitesparse.html

• Tetgen: http://wias-berlin.de/software/index.jsp?id=TetGen&lang=1

• Triangle: https://www.cs.cmu.edu/~quake/triangle.html