Third Party Software
====================

The geoapps repository and source distributions bundle several libraries that are
compatibly licensed.  We list these here.

.. list-table::
   :widths: 30 30 60
   :header-rows: 1

   * - Name
     - License
     - Description
   * - `Dask <https://github.com/dask/dask/>`_
     - BSD-3-Clause
     - Parallel PyData with Task Scheduling
   * - `dash-daq <https://github.com/plotly/dash-daq>`_
     - MIT
     - DAQ components for Dash
   * - `discretize <https://simpeg.xyz/>`_
     - MIT
     - Discretization tools for finite volume and inverse problems
   * - `Distributed <https://distributed.dask.org/>`_
     - BSD-3-Clause
     - Distributed scheduler for Dask
   * - `Fiona <https://github.com/Toblerity/Fiona>`_
     - BSD 3-Clause
     - Fiona reads and writes spatial data files
   * - `fsspec <https://github.com/fsspec/filesystem_spec>`_
     - BSD-3-Clause
     - File-system specification
   * - `GDAL <https://github.com/OSGeo/gdal>`_
     - MIT
     - GDAL: Geospatial Data Abstraction Library
   * - `geoh5py <https://github.com/MiraGeoscience/geoh5py>`_
     - LGPL-3.0-or-later
     - Python API for geoh5, an open file format for geoscientific data
   * - `ipyfilechooser <https://github.com/crahan/ipyfilechooser>`_
     - MIT
     - Python file chooser widget for use in Jupyter/IPython in conjunction with ipywidgets
   * - `ipywidgets <https://github.com/jupyter-widgets/ipywidgets>`_
     - BSD 3-Clause
     - Jupyter interactive widgets
   * - `jupyter-dash <https://github.com/plotly/jupyter-dash>`_
     - MIT
     - Dash support for the Jupyter notebook interface
   * - `libhwloc <https://github.com/conda-forge/libhwloc-feedstock>`_
     - BSD-3-Clause
     - Portable Hardware Locality (hwloc)
   * - `matplotlib <https://github.com/matplotlib/matplotlib>`_
     - LicenseRef-PSF-based
     - Python plotting package
   * - `numpy <https://github.com/numpy/numpy>`_
     - BSD-3-Clause
     - Fundamental package for array computing in Python
   * - `omf <https://github.com/gmggroup/omf>`_
     - MIT
     - API Library for Open Mining Format
   * - `pandas <https://github.com/pandas-dev/pandas>`_
     - BSD-3-Clause
     - Powerful data structures for data analysis, time series, and statistics
   * - `param-sweeps <https://github.com/MiraGeoscience/param-sweeps>`_
     - MIT
     - Parameter sweeper for ui.json powered applications
   * - `plotly <https://github.com/plotly/plotly.py>`_
     - MIT
     - An open-source, interactive data visualization library for Python
   * - `pydiso <https://github.com/simpeg/pydiso>`_
     - MIT
     - Wrapper for intel's pardiso implementation in the MKL
   * - `pymatsolver <https://github.com/simpeg/pymatsolver>`_
     - MIT
     - Matrix Solvers for Python
   * - `scikit-image <https://github.com/scikit-image/scikit-image>`_
     - BSD-3-Clause
     - Image processing in Python
   * - `scikit-learn <https://github.com/scikit-learn/scikit-learn>`_
     - BSD-3-Clause
     - A set of python modules for machine learning and data mining
   * - `scipy <https://github.com/scipy/scipy>`_
     - BSD-3-Clause
     - Fundamental algorithms for scientific computing in Python
   * - `simpeg <http://simpeg.xyz/>`_
     - MIT
     - SimPEG: Simulation and Parameter Estimation in Geophysics
   * - `tqdm <https://github.com/tqdm>`_
     - MPL-2.0 or MIT
     - A Fast, Extensible Progress Bar for Python and CLI