fb2aae3f-e67f-4f42-a65d-247a0570fdc3 0.1 PyPorCC python package 2021-08-11 2020-01-22 pyporcc is an open-source Python package developed to detect and classify harbour porpoise’s clicks in audio files using the PorCC algorithm and offering the possibility to create new clicks classifiers. It provides a framework to train different models such as Support Vector Machines, Linear Support Vector Machines, Random Forest and K-Nearest Neighbour that classify sound clips in Noise, and Low-Quality and High-Quality harbour porpoises’ clicks. The algorithm from PAMGuard to detect possible clicks clips is also implemented. Clea Parcerisas Flanders Marine Institute (VLIZ) clea.parcerisas@vliz.be https://metadatacatalogue.lifewatch.eu/geonetwork/srv/api/records/fb2aae3f-e67f-4f42-a65d-247a0570fdc3/attachments/biologging.jpg biologging.jpg biologging modelling marine biological occurrence cetacean underwater sound bioacoustics Biomonitoring https://github.com/lifewatch/pyporcc/blob/master/LICENSE data analysis data processing The maintenance and further development of PyPorCC relies on financial contributions and support of its host institution: VLIZ. The PyPorCC python package is currently funded through the LifeWatch Belgium project. https://github.com/lifewatch/pyporcc/issues https://github.com/lifewatch/lwdataexplorer WWW:LINK-1.0-http--link PyPorCC on GitHub https://doi.org/10.5281/zenodo.5179943 DOI PyPorCC on Zenodo