uteals: Shared Utilities to Extend the 'teal' Modules

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Authors: Nadia Abraham, Chanchal Bhalla, Peyman Eshghi, Pranith Gourisetty, Sohan Lal, Przemyslaw Posiadala, Alina Tselinina, Konrad Pagacz
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Abstract

Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.

Fields of Study & Subjects

Scientific Computing and Data Management Data Visualization and Analytics Computational Physics and Python Applications

Publication details

Publication date
17 February 2026
Language
EN
Document type
Dataset