yt Extensions

Below are some extensions to yt. These build on yt to develop analysis or visualization pipelines, or contain components that are otherwise out of scope for the core yt package. yt comes with a set of analysis modules, but the extensions listed below are externally developed and maintained.

Extension Packages
	ytini ytini is set of tools and tutorials for using yt as a tool inside the 3D visual effects software Houdini or a data pre-processor externally to Houdini. URL: http://www.ytini.com/ Import as: `vdbyt` Contact: Jill Naiman
	yt_idv This package provides interactive visualization using OpenGL for datasets loaded in yt. It is written to provide both scripting and interactive access. URL: https://yt-idv.readthedocs.io/en/stable/ Import as: `yt_idv` Contact: Matthew Turk
	Trident Trident is a full-featured tool that projects arbitrary sightlines through astrophysical hydrodynamics simulations for generating mock spectral observations of the IGM and CGM. URL: http://trident-project.org/ Import as: `trident` Contact: Cameron Hummels
	pyXSIM pyXSIM is a Python package for simulating X-ray observations from astrophysical sources. URL: http://hea-www.cfa.harvard.edu/~jzuhone/pyxsim/ Import as: `pyxsim` Contact: John ZuHone
	ytree Analyze merger tree data from multiple sources. It's yt for merger trees! URL: https://ytree.readthedocs.io Import as: `ytree` Contact: Britton Smith
	yt-napari A napari plugin for loading data from yt. URL: https://yt-napari.readthedocs.io Import as: `yt_napari` Contact: Chris Havlin
	widgyts A fully client-side pan-and-zoom widget, using WebAssembly, for variable mesh datasets from yt. It runs in the browser, so once the data hits your notebook, it's super fast and responsive! URL: https://widgyts.readthedocs.io Import as: `widgyts` Contact: Matthew Turk
	libyt an in situ analysis tool that allows researchers to analyze and visualize data using yt or other Python packages in parallel during simulation runtime. URL: https://libyt.readthedocs.io Import as: `libyt` Contact: Shin-Rong Tsai
	yt_xarray An xarray accessor plugin for streamlining data communication between xarray and yt. URL: https://yt-xarray.readthedocs.io Import as: `yt_xarray` Contact: Chris Havlin

The yt Project family
unyt unyt is a Python library for working with data that has physical units. It was originally developed as part of the yt Project and was split out as an independent project so that other Python projects can easily make use of it. URL: https://unyt.readthedocs.io Contact: John Zuhone
yt_astro_analysis The yt extension package for astrophysical analysis. URL: https://yt-astro-analysis.readthedocs.io Contact: Britton Smith
cmyt Matplotlib colormaps from the yt project! URL: https://github.com/yt-project/cmyt Contact: Clément Robert
ewah_bool_utils EWAH Bool Array utilities for yt. Efficient compression of in-memory integer arrays, useful for indexing arrays. URL: https://github.com/yt-project/ewah_bool_utils Contact: Matthew Turk
yt_experiments Experimental enhancements for yt. URL: https://github.com/yt-project/yt_experiments Contact: Chris Havlin

External yt frontends
yt-idefix A yt frontend for Idefix and Pluto, packaged as an extension for yt. URL: https://github.com/neutrinoceros/yt_idefix Contact: Clément Robert
yt_aspect A yt frontend for ASPECT unstructured mesh output as well as generic .pvtu data. URL: https://github.com/data-exp-lab/yt_aspect/ Contact: Chris Havlin

Built on yt
powderday Powderday is a dust radiative transfer package designed to interface with galaxy formation simulations in order to produce spectral energy distributions, as well as realistic images. It relies signficantly on yt. URL: https://powderday.readthedocs.io

Legacy Extensions (no longer maintained)
	yt interaction This extension is an experiment to work with the holoviews package for interactive visualization. URL: https://bitbucket.org/data-exp-lab/yt_interaction Contact: Matthew Turk
	ViewYT An ongoing effort to build reusable Qt-based widgets for interacting with yt plots and datasets. URL: https://github.com/data-exp-lab/yt_viewyt Contact: Austin Gilbert