The yt project aims to produce an integrated science environment for collaboratively asking and answering astrophysical questions. To do so, it will encompass the creation of initial conditions, the execution of simulations, and the detailed exploration and visualization of the resultant data. It will also provide a standard framework based on physical quantities interoperability between codes.
Development of yt is driven by a commitment to Open Science principles as manifested in participatory development, reproducibility, documented and approachable code, a friendly and helpful community of users and developers, and Free and Libre Open Source Software.
Many individuals have contributed to yt over its existence. We're fortunate to have a community of individuals using, developing, and sharing information about yt. For a more detailed breakdown of contribution information and statistics, check out our Open HUB Page. and our Members Page.
A few of the more fun things yt has been used for include the cover of the July 25, 2013 issue of Nature (and the accompanying ALMA press release), a visualization in the Adler Planetarium gallery "A Walk Through Space and Time" (a version of which won the XSEDE13 "Best Visualization"), and as a visualization component in the Seismic Sound Lab at Lamont-Doherty Earth Observatory.
A few talks about yt can be found online, including at SciPy 2014 by Nathan Goldbaum about yt-3.0 and at SciPy 2013 by Sam Skillman describing how volume rendering was developed by and for our community. At SciPy 2012, Matthew Turk gave an overview of yt and its goals. And, the entire workshop from January 2012 hosted at the FLASH center is available for viewing.
yt is built in an ecosystem of packages from the scientific software community. These includes libraries that have been created, developed and maintained by hundreds of individuals from different backgrounds.
yt is written in Python, which provides rapid development, scripting capabilities, and a huge number of packages.
Where speed is a concern, or C-interoperability is necessary, we utilize Cython as a mechanism for creating extensions.
Matplotlib is a 2D plotting library for Python for publication-quality plots and data visualizations.
The scientific Python ecosystem has greatly benefited from support from the NumFOCUS foundation.
The community of participants in open source Scientific projects is made up of members from around the globe with a diverse set of skills, personalities, and experiences. It is through these differences that our community experiences success and continued growth. We expect everyone in our community to follow these guidelines when interacting with others both inside and outside of our community. Our goal is to keep ours a positive, inclusive, successful, and growing community.
As members of the community,
This code of conduct applies to all community situations online and offline, including mailing lists, forums, social media, conferences, meetings, associated social events, and one-to-one interactions.
The yt Community Code of Conduct was adapted from the Astropy Community Code of Conduct, which was partially inspired by the PSF code of conduct.