skrub Update: Export Data Reports for LLM Workflows in Machine Learning
pandeyparul · x · 2026-08-11
The Python tabular data processing library skrub has received several practical updates aimed at simplifying ML preparation for messy tabular data.
Key new features include:
- Report Export: Its built-in interactive exploration tool, TableReport, now supports exporting to Markdown or dictionary formats, making it easier to feed dataset summaries directly into documentation or LLM workflows.
- New Transformers: Introduced practical processors like SessionEncoder and DropSimilar.
The author also provides a comprehensive tutorial demonstrating how to use skrub for a complete workflow: from data cleaning and exploration to feature engineering and building ML pipelines.
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