Metadata-Version: 2.1
Name: ecosound
Version: 0.0.19
Summary: Python toolkit for analysing passive acoustic data
Home-page: https://github.com/xaviermouy/ecosound
Author: Xavier Mouy
Author-email: xaviermouy@uvic.ca
License: BSD license
Keywords: ecosound
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Requires-Python: >=3.6.0
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst


.. image:: docs\source\_static\ecosound_logo_small.png


Welcome to ecosound!
====================

.. image:: https://img.shields.io/pypi/v/ecosound.svg
        :target: https://pypi.python.org/pypi/ecosound
		
.. image:: https://readthedocs.org/projects/ecosound/badge/?version=latest
        :target: https://ecosound.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status
		
.. image:: https://travis-ci.com/xaviermouy/ecosound.svg?branch=master
    :target: https://travis-ci.com/xaviermouy/ecosound

.. image:: https://coveralls.io/repos/github/xaviermouy/ecosound/badge.svg?branch=master
	:target: https://coveralls.io/github/xaviermouy/ecosound?branch=master

	

**Ecosound** is an open source python package to facilitate the analysis of passive acoustic data. It includes modules for manual annotation
processing and visualization, automatic detection, signal classification, and localization. It heavily relies on libraries such as xarray,
pandas, numpy and scikit-learn. Under the hood it also uses dask which supports the processing of large data sets that donâ€™t fit into memory,
and makes processing scalable through distributed computing (on either local clusters or on the cloud). Outputs from ecosound are compatible 
with popular bioacoustics software such as `Raven <https://ravensoundsoftware.com/>`_ and 
`PAMlab <https://static1.squarespace.com/static/52aa2773e4b0f29916f46675/t/5be5b07088251b9f59268184/1541779574284/PAMlab+Brochure.pdf>`_.


Status
------
Ecosound is very much a work in progress and is still under heavy development. 
At this stage, it is recommended to contact the main contributor before using
ecosound for your projects.


Documentation
-------------
No documentation yet, but we're working on it...
https://ecosound.readthedocs.io


Contributors
------------

`Xavier Mouy <https://xaviermouy.weebly.com/>`_ (@XavierMouy) leads this project as part of his PhD in the `Juanes Lab <https://juaneslab.weebly.com/>`_ 
at the University of Victoria (British Columbia, Canada).

Credits
-------

* This project was initiated in the `Juanes Lab <https://juaneslab.weebly.com/>`_ at the University of Victoria (British Columbia, Canada) and received funding from the `Canadian Healthy Oceans Network <https://chone2.ca/>`_ and `Fisheries and Oceans Canada - Pacific Region <https://www.dfo-mpo.gc.ca/contact/regions/pacific-pacifique-eng.html#Nanaimo-Lab>`_. 


License
-------
Ecosound is licensed under the open source `BSD-3-Clause License <https://choosealicense.com/licenses/bsd-3-clause/>`_.



=======
History
=======

0.0.0 (2020-11-20)
------------------

* First release on PyPI.
