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

@misc{UADAPy,
      title={UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox}, 
      author={Patrick Paetzold and David Hägele and Marina Evers and Daniel Weiskopf and Oliver Deussen},
      year={2024},
      eprint={2409.10217},
      archivePrefix={arXiv},
      primaryClass={cs.HC},
      url={https://arxiv.org/abs/2409.10217}, 
}