yt
NumFOCUS Sponsored Project since 2016yt is a tool for querying, analyzing and visualizing objects or regions of interest to identify emergent properties in data available in a variety of real-world research data formats. Initially developed for use by professional astronomers, yt can be applied in a variety of domains including astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.
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Industry
Business & Industry Applications
Language
Python
Other: C/C++
Features
Data Wrangling
Modeling
Visualization
High Performance Computing
Big Data
Numerical Computing
Subject Area Libraries
Educational Outreach
The yt project is a Python library for the analysis and visualization of volumetric data. It provides a uniform, physically motivated API for performing inquiry and visualization on data defined on particles as well as regular, adaptive, and unstructured meshes. It supports loading data in more than a dozen real-world research data formats used by domain specialists in the physical sciences working both real-world volumetric measurements and simulated data.
yt has been used for projects within astrophysics as diverse as studying mass-accretion onto the first stars in the Universe, to studying the outflows from compact objects and supernovae, to the star formation history of galaxies. It has been used to analyze and visualize some of the largest simulations ever conducted, and visualizations generated by yt have been featured in planetarium shows such as Solar Superstorms created by the Advanced Visualization Lab at NCSA.
