|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Echopype||79||6||18 hours ago||28||November 21, 2023||90||apache-2.0||Python|
|Enabling interoperability and scalability in ocean sonar data analysis|
|Minc||29||7 years ago||12||other||C|
|OBSOLETE: Medical Image NetCDF, this package is now split into two parts: libminc ( https://github.com/BIC-MNI/libminc ) and minc-tools ( https://github.com/BIC-MNI/minc-tools )|
|Libminc||18||22 days ago||20||other||C|
|libminc is the core library and API of the MINC toolkit|
|Pyvista Tornado Demo||11||4 years ago||gpl-3.0||Jupyter Notebook|
|Codeneuro_sf2015_dataset_packaging||4||8 years ago||mit|
|Notes from dataset packaging subgroup at CodeNeuro|
|Xrviz||1||3 years ago||bsd-3-clause||Python|
|Web based volume rendering and 3D/4D visualization of Model Forecast. (NM389-ISRO) of Indian Space Research Organisation and as a part of Smart India Hackathon 2020|
Echopype is a package built to enable interoperability and scalability in ocean sonar data processing. These data are widely used for obtaining information about the distribution and abundance of marine animals, such as fish and krill. Our ability to collect large volumes of sonar data from a variety of ocean platforms has grown significantly in the last decade. However, most of the new data remain under-utilized. echopype aims to address the root cause of this problem - the lack of interoperable data format and scalable analysis workflows that adapt well with increasing data volume - by providing open-source tools as entry points for scientists to make discovery using these new data.
Watch the echopype talk at SciPy 2019 for background, discussions and a quick demo!
You can find information about how to contribute to echopype at our Contributing Page.
Please report any bugs by creating issues on GitHub.
Pull requests are always welcome!
Wu-Jung Lee (@leewujung) founded the echopype project in 2018. It is currently led by Wu-Jung Lee and Emilio Mayorga (@emiliom), who are primary developers together with Landung "Don" Setiawan (@lsetiawan), and previously Brandon Reyes (@b-reyes), Kavin Nguyen (@ngkavin) and Imran Majeed (@imranmaj). Valentina Staneva (@valentina-s) is also part of the development team.
Other contributors are listed in echopype documentation.
We thank Dave Billenness of ASL Environmental Sciences for providing the AZFP Matlab Toolbox as reference for our development of AZFP support in echopype. We also thank Rick Towler (@rhtowler) of the NOAA Alaska Fisheries Science Center for providing low-level file parsing routines for Simrad EK60 and EK80 echosounders.
Echopype is licensed under the open source Apache 2.0 license.
Copyright (c) 2018-2023, Echopype Developers.