echoSMs
Making acoustic scattering models available to fisheries and plankton scientists via the world wide web
EchoSMs provides acoustic scattering models for fisheries and plankton acoustic research. By providing the models in an open-access and open-source software language (e.g, Python, R) and providing morphological and anatomical data in open data formats (e.g., HDF5, relational databases), the proper and appropriate use of these models can extend to the entire fisheries and plankton acoustics’ community.
Install
EchoSMs is available on the python Package Index as echosms. To install it:
uv add echosms
or with pip:
pip install echosms
Documentation
EchoSMs documentation is available here.
Viewer
EchoSMs includes a tool for visualizing organism shapes. If using uv, start it with:
uv run echosms-view
or if installed with pip:
echosms-view
Contributing
We welcome all contributions to echoSMs, be it code, test cases, bug reports, discussion of models, etc. Guidance on this is available in the echoSMs documentation.
Metadata
Release files for echosms 0.26.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| echosms-0.26.0.tar.gz | 10.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| echosms-0.26.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 MB
Release files / echosms-0.26.0.tar.gz
| Download URL | echosms-0.26.0.tar.gz |
|---|---|
| Size | 10.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / echosms-0.26.0-py3-none-any.whl
| Download URL | echosms-0.26.0-py3-none-any.whl |
|---|---|
| Size | 376.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 5, 2026.
Transparency log