<a href="https://www.pygimli.org">
<img src="https://www.pygimli.org/_images/pg_logo.png" width="50%">
</a>
[![Build Status](http://jenkins.pygimli.org/job/pyGIMLi_dev/badge/icon?style=flat-square)](http://jenkins.pygimli.org/job/pyGIMLi_dev/)
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[![Slack](https://img.shields.io/badge/pyGIMLi%20chat%20-%20mattermost?style=flat&logo=mattermost&label=mattermost&link=https%3A%2F%2Fmattermost.softwareunderground.org%2Fswung%2Fchannels%2Fpygimli
)](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 from the test repository:
``` bash
python -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pygimli
```
You might add the 'all' option to install also optional dependencies.
``` bash
python -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple 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\">\r\n <img src=\"https://www.pygimli.org/_images/pg_logo.png\" width=\"50%\">\r\n</a>\r\n\r\n[![Build Status](http://jenkins.pygimli.org/job/pyGIMLi_dev/badge/icon?style=flat-square)](http://jenkins.pygimli.org/job/pyGIMLi_dev/)\r\n[![Anaconda-Server Badge](https://anaconda.org/gimli/pygimli/badges/license.svg)](https://pygimli.org/license.html)\r\n[![release](https://img.shields.io/github/release/gimli-org/gimli.svg?style=flat-square)](https://github.com/gimli-org/gimli/releases/latest)\r\n[![Github commits (since latest release)](https://img.shields.io/github/commits-since/gimli-org/gimli/latest.svg?style=flat-square)](https://github.com/gimli-org/gimli/tree/dev)\r\n[![Slack](https://img.shields.io/badge/pyGIMLi%20chat%20-%20mattermost?style=flat&logo=mattermost&label=mattermost&link=https%3A%2F%2Fmattermost.softwareunderground.org%2Fswung%2Fchannels%2Fpygimli\r\n)](https://mattermost.softwareunderground.org/swung/channels/pygimli)\r\n\r\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.\r\n\r\nWhat is pyGIMLi suited for?\r\n\r\n- analyze, visualize and invert geophysical data in a reproducible manner\r\n- forward modelling of (geo)physical problems on complex 2D and 3D geometries\r\n- inversion with flexible controls on a-priori information and regularization\r\n- combination of different methods in constrained, joint and fully-coupled inversions\r\n- teaching applied geophysics (e.g. in combination with [Jupyter notebooks])\r\n\r\nWhat is pyGIMLi **NOT** suited for?\r\n\r\n- for people that expect a ready-made GUI for interpreting their data\r\n\r\n[jupyter notebooks]: https://jupyter.org\r\n\r\n\r\n##### Installation\r\n\r\nBefore you start, considering its not a bad idea to use virtual environments, so give this a try:\r\n\r\n``` bash\r\npython -m venv pygimli\r\nsource pygimli/bin/activate\r\n```\r\n\r\nTo install pygimli from the test repository:\r\n\r\n``` bash\r\npython -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pygimli\r\n```\r\n\r\nYou might add the 'all' option to install also optional dependencies.\r\n\r\n``` bash\r\npython -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pygimli['all']\r\n```\r\n\r\nYou can see if the installation was successful:\r\n\r\n``` bash\r\npython -c 'import pygimli as pg; pg.version()'\r\n```\r\n\r\nFor more information visit [pyGIMLi](https://www.pygimli.org).\r\n",
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