Skip to main content

zea logo

zea

A Toolbox for Cognitive Ultrasound Imaging

PyPI version Continuous integration Documentation Status License codecov status arXiv Hugging Face GitHub stars

Welcome to the zea package.

zea is a Python library that offers ultrasound signal processing, image reconstruction, and deep learning. Currently, zea offers:

  • A flexible ultrasound signal processing and image reconstruction Pipeline written in your favorite deep learning framework.
  • A complete set of Data loading tools for ultrasound data and acquisition parameters, designed for deep learning workflows.
  • A collection of pretrained Models for ultrasound image and signal processing.
  • A set of action selection functions for cognitive ultrasound in the Agent module.
  • Multi-Backend Support via Keras3: You can use PyTorch, TensorFlow, or JAX.

Check out the About page for more information and the motivation behind zea. For any questions or suggestions, please feel free to open an issue on GitHub. If you want to contribute, check out the Contributing guide.

Metadata

Release files for zea 0.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for zea 0.1.8
File Size Uploaded
zea-0.1.8.tar.gz 703.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for zea 0.1.8
File Interpreter ABI Platform
zea-0.1.8-py3-none-any.whl Python 3 none any Details

Total release size: 1.5 MB

Release files / zea-0.1.8.tar.gz

Download URL zea-0.1.8.tar.gz
Size 703.8 kB
Tags Source
SHA-256 checksum
How to use checksums
56e2bb7665a23913615cf4be83d964b48241864c7d2579d014b95273f228f0ad
BLAKE2b-256 checksum
How to use checksums
cb8baed23a929fba1f94837b0643686e3d84714e8a07869517df42fbe192893b
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 Oct 1, 2026.

Transparency log

Release files / zea-0.1.8-py3-none-any.whl

Download URL zea-0.1.8-py3-none-any.whl
Size 772.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
86d6cca88521b122077e637eda5e8876b78b1efe5594da95ea6e6887af3df6b6
BLAKE2b-256 checksum
How to use checksums
cdea1e1ba072f7947e67abaafe8ed83dbaacc59bd23a476b2855ddd15eeb11ee
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 Oct 1, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page