yt development - Documentation
@ Matthew Turk | Monday, Feb 7, 2011 | 1 minute read | Update at Monday, Feb 7, 2011

As a result of progress in my scientific goals, and the application of recent yt developments to them, I did not make many changes or developments in yt this week. When I did work on yt, I primarily spent time re-organizing the documentation and fixing several errors. I have added an “installation” section, consolidated a few sections, and wrote two new sections on how to make plots and on how to generate derived data products. I think that the documentation is now much easier to navigate and follow.

This week I also fine-tuned the API for the bridge that connects Enzo and Python, relying on feedback from other Enzo developments. This work is the first step in creating a generalized library for constructing initial conditions; it is not meant to be Enzo-specific. I will report more on this, but the ultimate goal is to be able to construct initial conditions using scripts, rather than constructing multiple C routines. This should make scientific experimentation much more accessible.

One final note is that this last week saw the first successful execution of a large-scale Enzo simulation with inline analysis provided by yt, using the EnzoStaticOutputInMemory object. BrittonS is driving that simulation forward, and he’s also conducting benchmarks to see how expensive inline analysis is.

yt extension modules

yt has many extension packages to help you in your scientific workflow! Check these out, or create your own.


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.


Trident is a full-featured tool that projects arbitrary sightlines through astrophysical hydrodynamics simulations for generating mock spectral observations of the IGM and CGM.


pyXSIM is a Python package for simulating X-ray observations from astrophysical sources.


Analyze merger tree data from multiple sources. It’s yt for merger trees!


yt_idv is a package for interactive volume rendering with yt! It provides interactive visualization using OpenGL for datasets loaded in yt. It is written to provide both scripting and interactive access.


widgyts is a jupyter widgets extension for yt, backed by rust/webassembly to allow for browser-based, interactive exploration of data from yt.


yt_astro_analysis is the yt extension package for astrophysical analysis.

Make your own!!

Finally, check out our development docs on writing your own yt extensions!

Contributing to the Blog

Are you interested in contributing to the yt blog?

Check out our post on contributing to the blog for a guide!

We welcome contributions from all members of the yt community. Feel free to reach out if you need any help.

the yt data hub

The yt hub at has a ton of resources to check out, whether you have yt installed or not.

The collections host all sorts of data that can be loaded with yt. Some have been used in publications, and others are used as sample frontend data for yt. Maybe there’s data from your simulation software?

The rafts host the yt quickstart notebooks, where you can interact with yt in the browser, without needing to install it locally. Check out some of the other rafts too, like the widgyts release notebooks – a demo of the widgyts yt extension pacakge; or the notebooks from the CCA workshop – a user’s workshop on using yt.

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