Metadata-Version: 2.1
Name: planktonspace
Version: 0.0.4
Summary: A point process analysis package
Author-email: Sebastian Tiesmeyer <sebastian.tiesmeyer@bih-charite.de>
License: MIT License
        
        Copyright (c) 2022 HiDiH - Hub for Innovations in Digital Health
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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        SOFTWARE.
        
Project-URL: Homepage, https://github.com/HiDiHlabs/planktonpy
Project-URL: Bug Tracker, https://github.com/HiDiHlabs/planktonpy
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >3.7
Description-Content-Type: text/x-rst
License-File: LICENSE

Plankton.py - Point-Based statistics in Python
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Plankton.py is a python package for the analysis of point processes, with a focus on spot-based spatial omics data.

