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.
