k-wave-python
A Python implementation of k-Wave — an acoustics toolbox for time-domain simulation of acoustic wave fields. Includes a pure NumPy/CuPy solver (backend="python") and an interface to the pre-compiled k-Wave C++ binaries (backend="cpp") with NVIDIA GPU support (sm 5.0–9.0a).
Mission
Increase the accessibility and reproducibility of k-Wave simulations for medical imaging, algorithmic prototyping, and testing.
Getting started
A collection of examples covers common simulation scenarios. Run any example locally:
uv run examples/ivp_homogeneous_medium.py
No GPU required — all examples run on CPU with NumPy.
Installation
Using uv (recommended):
uv add k-wave-python
Or with pip:
pip install k-wave-python
Development
Development instructions can be found here.
Related Projects
- k-Wave: A MATLAB toolbox for the time-domain simulation of acoustic wave fields.
- j-wave: Differentiable acoustic simulations in JAX.
- ADSeismic.jl: a finite difference acoustic simulator with support for AD and JIT compilation in Julia.
- stride: a general optimisation framework for medical ultrasound tomography.
Documentation
The documentation for k-wave-python can be found here.
Citation
@software{k-Wave-Python,
author = {Yagubbayli, Farid and Sinden, David and Simson, Walter},
license = {GPL-3.0},
title = {{k-Wave-Python}},
url = {https://github.com/waltsims/k-wave-python}
}
Contact
e-mail walter.a.simson@gmail.com.
1 maintainer
Metadata
1 maintainer
Release files for k-Wave-python 0.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| k_wave_python-0.6.2.tar.gz | 345.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| k_wave_python-0.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 570.3 kB
Release files / k_wave_python-0.6.2.tar.gz
| Download URL | k_wave_python-0.6.2.tar.gz |
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