<a href="https://www.pygimli.org">
<img src="https://www.pygimli.org/_images/pg_logo.png" width="50%">
</a>
[](http://jenkins.pygimli.org/job/pyGIMLi_dev/)
[](https://pygimli.org/license.html)
[](https://github.com/gimli-org/gimli/releases/latest)
[](https://github.com/gimli-org/gimli/tree/dev)
[](https://mattermost.softwareunderground.org/swung/channels/pygimli)
[pyGIMLi](https://www.pygimli.org) 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
[jupyter notebooks]: https://jupyter.org
##### Installation
Before you start, considering its not a bad idea to use virtual environments, so give this a try:
``` bash
python -m venv pygimli
source pygimli/bin/activate
```
To install pygimli :
``` bash
python -m pip install pygimli
```
You might add the 'all' option to install also optional dependencies.
``` bash
python -m pip install pygimli['all']
```
You can see if the installation was successful:
``` bash
python -c 'import pygimli as pg; pg.version()'
```
For more information visit [pyGIMLi](https://www.pygimli.org).
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"description": "<a href=\"https://www.pygimli.org\">\n <img src=\"https://www.pygimli.org/_images/pg_logo.png\" width=\"50%\">\n</a>\n\n[](http://jenkins.pygimli.org/job/pyGIMLi_dev/)\n[](https://pygimli.org/license.html)\n[](https://github.com/gimli-org/gimli/releases/latest)\n[](https://github.com/gimli-org/gimli/tree/dev)\n[](https://mattermost.softwareunderground.org/swung/channels/pygimli)\n\n[pyGIMLi](https://www.pygimli.org) 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.\n\nWhat is pyGIMLi suited for?\n\n- analyze, visualize and invert geophysical data in a reproducible manner\n- forward modelling of (geo)physical problems on complex 2D and 3D geometries\n- inversion with flexible controls on a-priori information and regularization\n- combination of different methods in constrained, joint and fully-coupled inversions\n- teaching applied geophysics (e.g. in combination with [Jupyter notebooks])\n\nWhat is pyGIMLi **NOT** suited for?\n\n- for people that expect a ready-made GUI for interpreting their data\n\n[jupyter notebooks]: https://jupyter.org\n\n\n##### Installation\n\nBefore you start, considering its not a bad idea to use virtual environments, so give this a try:\n\n``` bash\npython -m venv pygimli\nsource pygimli/bin/activate\n```\n\nTo install pygimli :\n\n``` bash\npython -m pip install pygimli\n```\n\nYou might add the 'all' option to install also optional dependencies.\n\n``` bash\npython -m pip install pygimli['all']\n```\n\nYou can see if the installation was successful:\n\n``` bash\npython -c 'import pygimli as pg; pg.version()'\n```\n\nFor more information visit [pyGIMLi](https://www.pygimli.org).\n",
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