Metadata-Version: 2.1
Name: grig
Version: 0.1.0
Summary: N-Dimensional Resampler for Irregularly Gridded Data
Home-page: https://sofia-usra.github.io/grig
Author: SOFIA-USRA
Author-email: SOFIA-USRA <mclarke@sofia.usra.edu>
License: BSD 3-Clause
Project-URL: Homepage, https://sofia-usra.github.io/grig
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: licenses/LICENSE.rst
Requires-Dist: bottleneck
Requires-Dist: cloudpickle
Requires-Dist: joblib
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: psutil
Requires-Dist: scikit-learn
Requires-Dist: scipy
Provides-Extra: docs
Requires-Dist: imageio ; extra == 'docs'
Requires-Dist: matplotlib ; extra == 'docs'
Requires-Dist: sphinx ; extra == 'docs'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'

N-Dimensional Resampler for Irregularly Gridded Data
----------------------------------------------------

Grig is a fully N-dimensional resampling package for irregularly
gridded data.  It was primarily developed for generating astronomical
image mosaics and spectral image cubes, but has broad applicability
to scientific data arrays with or without associated errors.

For more information about installing and using this package, see
the `online documentation <https://SOFIA-USRA.github.io/grig/>`__,
or `docs/install.rst <docs/install.rst>`__ in the source distribution.


License
-------

This project is Copyright (c) Universities Space Research Association
under Government Prime Contract Number NNA17BF53C and licensed under
the terms of the BSD 3-Clause license.
