openmedical/registry
← registry

k-wave-python

imported

software/k-wave-python

A Python interface to k-Wave GPU accelerated binaries

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
LGPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
acoustics · gpu · kwave · neuroscience · python · simulation · ultrasound · wave-equation
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • apecssacoustics · ultrasound

    APECSS is a software toolbox to compute pressure-driven bubble dynamics and the resulting acoustic emissions.

  • pa-tomography-xu-wangacoustics · ultrasound

    Photoacoustic tomography as proposed by Xu and Wang in Python and Rust.

  • Mirheogpu · simulation

    Computational Microfluidics

  • ffdasgpu · ultrasound

    GPU-accelerated delay-and-sum and related primitives for volumetric ultrasound and photoacoustic image reconstruction

  • BrainUltrasoundSimulationsimulation · ultrasound

    Simulation of Ultrasound signals on a 3D Brain model using K-Wave toolbox. Plus simple ultrassound focusing algorithm.

  • fullwave25simulation · ultrasound

    Fullwave 2.5: Ultrasound wave propagation simulation with heterogeneous power law attenuation modelling capabilities

sources
  1. api.github.com/repos/waltsims/k-wave-python
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-27, 218 stars, license reported as LGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["k-wave-python"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.