## What is yt?¶

yt is a toolkit for analyzing and visualizing quantitative data. Originally written to analyze 3D grid-based astrophysical simulation data, it has grown to handle any kind of data represented in a 2D or 3D volume. yt is an Python-based open source project and is open for anyone to use or contribute code. The entire source code and history is available to all at http://github.com/yt-project/yt .

## Who is yt?¶

As an open-source project, yt has a large number of user-developers. In September of 2014, the yt developer community collectively decided to endow the title of member on individuals who had contributed in a significant way to the project. For a list of those members and a description of their contributions to the code, see our members website.

For an up-to-date list of everyone who has contributed to the yt codebase, see the current CREDITS file. For a more detailed breakup of contributions made by individual users, see out Open HUB page.

## History of yt¶

yt was originally begun by Matthew Turk in 2007 in the course of his graduate studies in computational astrophysics. The code was developed as a simple data-reader and exporter for grid-based hydrodynamical simulation data outputs from the Enzo code. Over the next few years, he invited collaborators and friends to contribute and use yt. As the community grew, so did the capabilities of yt. It is now a community-developed project with contributions from many people, the hospitality of several institutions, and benefiting from numerous grants. With this community-driven approach and contributions from a sizeable population of developers, it has evolved into a fully-featured toolkit for analysis and visualization of multidimensional data. It relies on no proprietary software – although it can be and has been extended to interface with proprietary software and libraries – and has been designed from the ground up to enable users to be as immersed in the data as they desire.

## How do I cite yt?¶

If you use yt in a publication, we’d very much appreciate a citation! You should feel free to cite the ApJS paper with the following BibTeX entry:

@ARTICLE{2011ApJS..192....9T,
author = {{Turk}, M.~J. and {Smith}, B.~D. and {Oishi}, J.~S. and {Skory}, S. and
{Skillman}, S.~W. and {Abel}, T. and {Norman}, M.~L.},
title = "{yt: A Multi-code Analysis Toolkit for Astrophysical Simulation Data}",
journal = {The Astrophysical Journal Supplement Series},
archivePrefix = "arXiv",
eprint = {1011.3514},
primaryClass = "astro-ph.IM",
keywords = {cosmology: theory, methods: data analysis, methods: numerical },
year = 2011,
month = jan,
volume = 192,
eid = {9},
pages = {9},
doi = {10.1088/0067-0049/192/1/9},