yt 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 all top 5 Cited by 8 Authors 1 Colella, Phillip 1 Derigs, Dominik 1 Gassner, Gregor J. 1 Miller, Jonah M. 1 Schnetter, Erik 1 Straalen, B.van 1 Walch, Stefanie 1 Winters, Andrew R. Cited in 3 Serials 1 Classical and Quantum Gravity 1 Journal of Computational Physics 1 SIAM Journal on Scientific Computing Cited in 4 Fields 3 Numerical analysis (65-XX) 2 Fluid mechanics (76-XX) 1 Partial differential equations (35-XX) 1 Relativity and gravitational theory (83-XX) Citations by Year