uadapy 0.1.0

A software package for uncertainty-aware data analysis with Python

UADAPy - Uncertainty-aware Data Analysis with Python

UADAPy is a Python library to support an easy analysis of uncertain data.

The library provides:

• uncertainty-aware algorithms for different visualization algorithms, including UAMDS
• easy-to-use visualizations for uncertain data

Installation

So far the library is very much work in progress, but you can already use it via pip:

pip install uadapy

Documentation

You can find the documentation here: https://unistuttgart-visus.github.io/uadapy/

Citation

If you use this software in your work, please cite it using the following metadata

@INPROCEEDINGS{UADAPy,
  author={Paetzold, Patrick and Hägele, David and Evers, Marina and Weiskopf, Daniel and Deussen, Oliver},
  booktitle={2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks}, 
  title={UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox}, 
  year={2024},
  volume={},
  number={},
  pages={48-50},
  keywords={Uncertainty;Data analysis;Software packages;Conferences;Software algorithms;Pipelines;Data visualization;Python;Uncertainty visualization;software toolbox},
  doi={10.1109/UncertaintyVisualization63963.2024.00011}}