swMATH ID: 28814
Software Authors: Matthew J. Turk, Britton D. Smith, Jeffrey S. Oishi, Stephen Skory, Samuel W. Skillman, Tom Abel, Michael L. Norman
Description: yt is an open-source, permissively-licensed python package for analyzing and visualizing volumetric data. yt supports structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, yt has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography. Composed of a friendly community of users and developers, we want to make it easy to use and develop — we’d love it if you got involved!
Homepage: https://yt-project.org
Source Code:  https://github.com/yt-project/yt
Related Software: NumPy; Python; Matplotlib; h5py; unyt; SciPy; PETSc; SENSEI; xSDK; BoxLib; SUNDIALS; VisIt; ParaView; AMReX; Fastcache; Cloc; Pint; pynbody; Dimensionful; pyperf
Cited in: 3 Publications

Citations by Year