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This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems.
This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems.
The dashboard allows users to:
This package implements the functionality described in a submission to ECAI Demo Track 2025, and further details and documentation will be provided upon publication.
To see an online version of the dashboard, see Individual Consistency eXplorer Online.
It is recommended to install icx in a virtual environment (e.g., conda).
pip install icx
from icx import dashboard
dashboard.run()
In the dashboard there is the ability to upload your own datasets or use the demo datasets provided.
FAQs
This package provides the functionality for an interactive Streamlit dashboard designed to support stakeholders in exploring individual fairness notions within algorithmic decision-making systems.
We found that icx demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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