Members/yt project

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"yt is an open-source, permissively-licensed python package for analyzing and visualizing volumetric data.

yt supports structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, yt has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography. Composed of a friendly community of users and developers, we want to make it easy to use and develop — we'd love it if you got involved!"





YTEP-1776: Team Infrastructure — yt Enhancement Proposals 1.0 documentation

(draft / proposed)

Code of Conduct

Code of Conduct — The yt Project 3.3.3 documentation

(based on PSF CoC)

Code Repository

Build Tools

Pastebin: New Paste | LodgeIt!


The yt Project: Extensions


Issue Tracker

Many repositories, each with own tracker. Hosted on Bitbucket.

Example: yt_analysis / yt / issues — Bitbucket

yt_analysis / blog — Bitbucket



Main Documentation:

User Guide:

Blog: The yt Project Blog


Trello: yt (yt_analysis) | Trello




Currently: BSD-3-Clause, previously GPLv3: Licensing — The yt Project 3.3.3 documentation


How do I cite yt? — The yt Project 3.3.3 documentation


History of yt — The yt Project 3.3.3 documentation

"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."