Skip to main content

Enhancing the interoperability and scalability in analyzing ocean sonar data

Project description

Echopype

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!

Documentation

Learn more about echopype in the official documentation at https://echopype.readthedocs.io. Check out executable examples in the companion repository https://github.com/OSOceanAcoustics/echopype-examples.

Contributing

You can find information about how to contribute to echopype at our Contributing Page.

Echopype doesn't run on your data?

Please report any bugs by creating issues on GitHub.

Pull requests are always welcome!

Contributors

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 Brandon Reyes (@b-reyes), Landung "Don" Setiawan (@lsetiawan), and previously 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.

License

Echopype is licensed under the open source Apache 2.0 license.


Copyright (c) 2018-2022, echopype Developers.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

echopype-0.6.1.tar.gz (136.2 kB view details)

Uploaded Source

Built Distribution

echopype-0.6.1-py3-none-any.whl (156.0 kB view details)

Uploaded Python 3

File details

Details for the file echopype-0.6.1.tar.gz.

File metadata

  • Download URL: echopype-0.6.1.tar.gz
  • Upload date:
  • Size: 136.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for echopype-0.6.1.tar.gz
Algorithm Hash digest
SHA256 ffbb2f19ee32801d63dccb1db18999ccd4ab08dc038fce9d0d62a0526fd59840
MD5 68d4edc77bbd608407e640002d866912
BLAKE2b-256 cccdd6df148ee03b04aaaca3a7f9814d5ce6d879da2a5e3b813579ca4a7a8a32

See more details on using hashes here.

File details

Details for the file echopype-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: echopype-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 156.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for echopype-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 641896fed547073cd36337847396c03cd1b2f6798b57b5ba4fa42a1a0cfe9fd4
MD5 c6d47a149904579b76b72a19e3f18133
BLAKE2b-256 12e06d9fe73c2ce053e637adf220c2694952d1c2cfb83770c024cd814fabba8e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page