{"id":13780585,"url":"https://github.com/pyTMD/pyTMD","last_synced_at":"2025-05-11T13:32:37.600Z","repository":{"id":37590098,"uuid":"107997403","full_name":"tsutterley/pyTMD","owner":"tsutterley","description":"Python-based tidal prediction 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Status|\n|PyPI|\n|conda-forge|\n|commits-since|\n|zenodo|\n\n.. |License| image:: https://img.shields.io/github/license/pyTMD/pyTMD\n   :target: https://github.com/pyTMD/pyTMD/blob/main/LICENSE\n\n.. |Documentation Status| image:: https://readthedocs.org/projects/pytmd/badge/?version=latest\n   :target: https://pytmd.readthedocs.io/en/latest/?badge=latest\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/pyTMD.svg\n   :target: https://pypi.python.org/pypi/pyTMD/\n\n.. |conda-forge| image:: https://img.shields.io/conda/vn/conda-forge/pytmd\n   :target: https://anaconda.org/conda-forge/pytmd\n\n.. |commits-since| image:: https://img.shields.io/github/commits-since/pyTMD/pyTMD/latest\n   :target: https://github.com/pyTMD/pyTMD/releases/latest\n\n.. |zenodo| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5555395.svg\n   :target: https://doi.org/10.5281/zenodo.5555395\n\nPython-based tidal prediction software for estimating ocean, load, solid Earth and pole tides\n\nFor more information: see the documentation at `pytmd.readthedocs.io \u003chttps://pytmd.readthedocs.io/\u003e`_\n\nInstallation\n############\n\nFrom PyPI:\n\n.. code-block:: bash\n\n   python3 -m pip install pyTMD\n\nTo include all optional dependencies:\n\n.. code-block:: bash\n\n   python3 -m pip install pyTMD[all]\n\nUsing `conda` or `mamba` from conda-forge:\n\n.. code-block:: bash\n\n   conda install -c conda-forge pytmd\n\n.. code-block:: bash\n\n   mamba install -c conda-forge pytmd\n\nDevelopment version from GitHub:\n\n.. code-block:: bash\n\n   python3 -m pip install git+https://github.com/pyTMD/pyTMD.git\n\nDependencies\n############\n\n- `dateutil: powerful extensions to datetime \u003chttps://dateutil.readthedocs.io/en/stable/\u003e`_\n- `lxml: processing XML and HTML in Python \u003chttps://pypi.python.org/pypi/lxml\u003e`_\n- `netCDF4: Python interface to the netCDF C library \u003chttps://unidata.github.io/netcdf4-python/\u003e`_\n- `numpy: Scientific Computing Tools For Python \u003chttps://www.numpy.org\u003e`_\n- `pyproj: Python interface to PROJ library \u003chttps://pypi.org/project/pyproj/\u003e`_\n- `scipy: Scientific Tools for Python \u003chttps://www.scipy.org/\u003e`_\n- `setuptools_scm: manager for python package versions using scm metadata \u003chttps://pypi.org/project/setuptools-scm\u003e`_\n- `timescale: Python tools for time and astronomical calculations \u003chttps://pypi.org/project/timescale/\u003e`_\n\nReferences\n##########\n\n    T. C. Sutterley, T. Markus, T. A. Neumann, M. R. van den Broeke, J. M. van Wessem, and S. R. M. Ligtenberg,\n    \"Antarctic ice shelf thickness change from multimission lidar mapping\", *The Cryosphere*,\n    13, 1801-1817, (2019). `doi: 10.5194/tc-13-1801-2019 \u003chttps://doi.org/10.5194/tc-13-1801-2019\u003e`_\n\n    L. Padman, M. R. Siegfried, H. A. Fricker,\n    \"Ocean Tide Influences on the Antarctic and Greenland Ice Sheets\", *Reviews of Geophysics*,\n    56, 142-184, (2018). `doi: 10.1002/2016RG000546 \u003chttps://doi.org/10.1002/2016RG000546\u003e`_\n\nDownload\n########\n\n| The program homepage is:\n| https://github.com/pyTMD/pyTMD\n| A zip archive of the latest version is available directly at:\n| https://github.com/pyTMD/pyTMD/archive/main.zip\n\nAlternative Software\n####################\n\n| perth5 from NASA Goddard Space Flight Center:\n| https://codeberg.org/rray/perth5\n| Matlab Tide Model Driver from Earth \u0026 Space Research:\n| https://github.com/EarthAndSpaceResearch/TMD_Matlab_Toolbox_v2.5\n| Fortran OSU Tidal Prediction Software:\n| https://www.tpxo.net/otps\n\nDisclaimer\n##########\n\nThis package includes software developed at NASA Goddard Space Flight Center (GSFC) and the University of Washington Applied Physics Laboratory (UW-APL).\nIt is not sponsored or maintained by the Universities Space Research Association (USRA), AVISO or NASA.\nThe software is provided here for your convenience but *with no guarantees whatsoever*.\nIt should not be used for coastal navigation or any application that may risk life or property.\n\nContributing\n############\n\nThis project contains work and contributions from the `scientific community \u003c./CONTRIBUTORS.rst\u003e`_.\nIf you would like to contribute to the project, please have a look at the `open issues \u003chttps://github.com/pyTMD/pyTMD/issues\u003e`_ and `discussions board \u003chttps://github.com/pyTMD/pyTMD/discussions\u003e`_.\n\nCredits\n#######\n\nThe Tidal Model Driver (`TMD \u003chttps://github.com/EarthAndSpaceResearch/TMD_Matlab_Toolbox_v2.5\u003e`_) Matlab Toolbox was developed by Laurie Padman, Lana Erofeeva and Susan Howard.\nAn updated version of the TMD Matlab Toolbox (`TMD3 \u003chttps://github.com/chadagreene/Tide-Model-Driver\u003e`_) was developed by Chad Greene.\nThe OSU Tidal Inversion Software (OTIS) and OSU Tidal Prediction Software (`OTPS \u003chttps://www.tpxo.net/otps\u003e`_) were developed by Lana Erofeeva and Gary Egbert (`copyright OSU \u003chttps://www.tpxo.net/tpxo-products-and-registration\u003e`_, licensed for non-commercial use).\nThe NASA Goddard Space Flight Center (GSFC) PREdict Tidal Heights (PERTH3) software was developed by Richard Ray and Remko Scharroo.\nAn updated and more versatile version of the NASA GSFC tidal prediction software (`PERTH5 \u003chttps://codeberg.org/rray/perth5\u003e`_) was developed by Richard Ray.\n\nLicense\n#######\n\nThe content of this project is licensed under the `Creative Commons Attribution 4.0 Attribution license \u003chttps://creativecommons.org/licenses/by/4.0/\u003e`_ and the source code is licensed under the `MIT license \u003cLICENSE\u003e`_.\n","funding_links":[],"categories":["By topic","Hydrosphere"],"sub_categories":["Wave modelling","Ocean and Hydrology Data Access"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FpyTMD%2FpyTMD","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FpyTMD%2FpyTMD","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FpyTMD%2FpyTMD/lists"}