Eurybia
A Python library for monitoring model and data drift over time, generating insightful HTML reports for AI governance.
What is Eurybia?
Eurybia is a Python library that monitors model drift and data drift over time, helping to secure model deployment with data validation. It generates HTML reports to visualize changes between baseline and production datasets, aiding in model auditing and AI governance. The tool uses a binary classifier to detect drift and provides explainability for feature contributions.
Data scientists and ML engineers who need to monitor and validate machine learning models in production, as well as teams focused on AI governance and model auditing.
Developers choose Eurybia for its comprehensive, automated drift detection and insightful visual reports that facilitate collaboration between technical and non-technical stakeholders. Its integration with explainability tools like Shapash and focus on production ML lifecycle management set it apart.
Overview
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Use Cases
Best For
- Monitoring data drift in production machine learning models
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