yt is a community-developed analysis and visualization toolkit for examining datasets in a variety of scientific disciplines. yt is developed in Python under the open-source model. In version 2.6, yt currently supports several astrophysical simulation code formats, as well support for Loading Generic Array Data for unsupported data formats. Code Support is included for: Enzo, Orion, Nyx, FLASH, Piernik, Athena, Chombo, and Pluto.
Support for additional codes, including particle codes (Gadget, Gasoline), octree AMR codes (ART, RAMSES), and additional patch AMR codes (Castro, Maestro, and other Boxlib codes) will be available in yt 3.0. Currently yt 3.0 is under active development, please stop by the mailing list if you want to get involved.
We provide sample data for many of the different codes supported by yt. See How can I get some sample data for yt? for more information.