yt aims to provide easy access to real-world data in a variety of formats, obviating the need for students and researchers to needlessly reimplement readers and common data processing algorithms. In addition, yt can be easily extended in the Python language by defining new fields as Python functions and mixing and matching analysis tasks.
The yt project is developed and maintained in the open by a global community of scientists and software developers.
With the addition of yt, NumFOCUS now fiscally sponsors fourteen different open source data science projects. To make a donation to support yt or any of NumFOCUS’ other projects, click here.