Skip to main content

Open Source Python package for building ocean sonar data visualizations.

Project description

Welcome to echoshader

Binder

Open Source Python package for building ocean sonar data visualizations based on the HoloViz suite of Python tools.

What are ocean sonar systems?

Ocean sonar systems, such as echosounders, are the workhorse to study life in the ocean. They provide continuous observations of fish and zooplankton by transmitting sounds and analyzing the echoes bounced off these animals, just like how medical ultrasound images the interior of human body. In recent years these systems are widely deployed on ships, autonomous vehicles, or moorings, bringing in a lot of data that allow scientists to study the change of the marine ecosystem.

What is echoshader?

Echoshader aims to enhance the capability to interactively visualize large volumes of ocean sonar data to accelerate the data exploration and discovery process. The project will go hand-in-hand with ongoing development of the echopype package that handles the standardization, pre-processing, and organization of these data.

By providing an accessible and customizable platform for echo data visualization, the project can accelerate advancements in oceanographic research for the benefit of conservation and sustainable resource management like fishery.

Installation

First it is best to create a new environment:

mamba create -c conda-forge -n echoshader --yes python=3.10

mamba activate echoshader

To install from PyPi:

pip install echoshader

The latest branch can be installed via the following:

pip install git+https://github.com/OSOceanAcoustics/echoshader.git

To run in development mode, fork and clone the repository at Echoshader:

mamba create -c conda-forge -n echoshader-dev --yes python=3.10 --file requirements.txt --file requirements-dev.txt
pip install -e

We recommend use mamba to manage conda's environments, which is a re-implementation of conda offering additional benefits.

Creating a development environment

This section is intended for those who are actively developing this package.

mamba create -n echoshader-dev -c pyviz -c conda-forge echopype hvplot geoviews pyvista ipykernel

Note: Users may already have echopype installed, but it should be at a version greater than or equal to 0.7.1.

To link this environment with a Jupyter kernel:

conda activate echoshader-dev
python -m ipykernel install --user --name echoshader-dev --display-name "echoshader-dev"

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

echoshader-0.1.0-py3-none-any.whl (3.0 MB view details)

Uploaded Python 3

File details

Details for the file echoshader-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: echoshader-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for echoshader-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d695e33dc00bc9944106ca72f9b174defb91ee62f7f796ac3b2bed88b0f87dbe
MD5 539fbec62ba108033c41e38b4f07a5b2
BLAKE2b-256 22b2e4df4b78f25c84eb131afca0e1428f322a31488e8c225ba39f67f9f7ba70

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