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!
Keywords for this software
References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
- Britton D. Smith; Meagan Lang: ytree: A Python package for analyzing merger trees (2019) not zbMATH
- C. Bane Sullivan; Alexander A. Kaszynski: PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK) (2019) not zbMATH
- Nathan J. Goldbaum; John A. ZuHone; Matthew J. Turk; Kacper Kowalik; Anna L. Rosen: unyt: Handle, manipulate, and convert data with units in Python (2018) not zbMATH
- Miller, Jonah M.; Schnetter, Erik: An operator-based local discontinuous Galerkin method compatible with the BSSN formulation of the Einstein equations (2017)
- Myers, A.; Colella, P.; Straalen, B.van: A 4th-order particle-in-cell method with phase-space remapping for the Vlasov-Poisson equation (2017)
- Derigs, Dominik; Winters, Andrew R.; Gassner, Gregor J.; Walch, Stefanie: A novel high-order, entropy stable, 3D AMR MHD solver with guaranteed positive pressure (2016)