One of those rotating homepages:
yt is a python package for analyzing and visualizing volumetric, multi-resolution data from astrophysical simulations, radio telescopes, and a burgeoning interdisciplinary community.
Quantitative Analysis and Visualization
yt is more than a visualization package: it is a tool to seamlessly handle simulation output files to make analysis simple. yt can easily knit together volumetric data to investigate phase-space distributions, averages, line integrals, streamline queries, region selection, halo finding, contour identification, surface extraction and more.
Many formats, one language
yt aims to provide a simple uniform way of handling volumetric data, regardless of where it is generated. yt currently supports FLASH, Enzo, Boxlib, Athena, arbitrary volumes, Gadget, Tipsy, ART, RAMSES and MOAB. If your data isn’t already supported, why not add it?
From the non-rotating part of the homepage:
To get started using yt to explore data, we provide resources including documentation, workshop material, and even a fully-executable quick start guide demonstrating many of yt’s capabilities.
But if you just want to dive in and start using yt, we have a long list of recipes demonstrating how to do various tasks in yt. We even have sample datasets from all of our supported codes on which you can test these recipes. While yt should just work with your data, here are some instructions on loading in datasets from our supported codes and formats.
Professional astronomical data and tools like yt put exploration of the universe at your fingertips!
Enjoy!