widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

Research output: Contribution to journalArticlepeer-review

Abstract

widgyts is a custom Jupyter widget library to assist in interactive data visualization and exploration with yt. yt (Turk et al., 2011) is a python package designed to read, process, and visualize multidimensional scientific data. yt allows users to ingest and visualize data from a variety of scientific domains with a nearly identical set of commands. Often, these datasets are large, sparse, complex, and located remotely. Creating a publication-quality figure of
an area of interest for this data may take numerous exploratory visualizations and subsequent parameter-tuning events. The widgyts package allows for interactive exploratory visualization with yt, enabling users to more readily determine which parameters and selections they need to best display their data.

The widgyts package is built on the ipywidgets (Grout, Frederic, Corlay, & Ragan-Kelley, 2019) framework, which allows yt users to browse their data using a Jupyter notebook or a Jupyterlab instance. widgyts is developed on GitHub in the Data Exploration Lab organization. Issues, questions, new feature requests, and any other relevant discussion can be found at the source code repository (Munk & Turk, 2019).
Original languageEnglish (US)
Article number1774
Pages (from-to)1-4
JournalJournal of Open Source Software
Volume5
Issue number45
DOIs
StatePublished - Jan 29 2020

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