drilldown

Explore and analyze multimodal data.

• Built with dash, dash-mantine-components, and plotly
• Lightweight feature store based on obstore and deltalake
• Light and dark themes

Getting Started

Installation:

pip install drilldown

Demo mode:

drilldown --demo=true

This starts the application on a local development server with an auto-generated dataset for exploring its features.

Explore

Features:

• Table view of the selected dataset
• Chart view with the following chart types:
  • Scatter Plot
  • Time Series
  • Box Plot
  • Histogram
  • Parallel Coordinates
  • Cycle Plot
  • t-SNE Plot (including K-Means and PCA)
• Resizable sidebar with additional visualizations, such as images or curves for samples selected in the table or chart view

Root Cause Analysis

Available root cause analysis methods include:

• Correlation Analysis
• Feature Importance (SHAP)
• Global Explanations via Explainable Boosting Machine (EBM)
• Local Explanations via EBM
• What-If Analysis

Drift Monitoring

Drift monitoring based on the Kolmogorov-Smirnov statistic.

License

drilldown is distributed under the terms of the MIT license.