Release v0.2.0

🎈 Version 0.2.0

Release date: April 14, 2026

pip install --upgrade streamlit-pivot

🎉 Highlights

• Faster pivot setup with a redesigned settings panel, drag-and-drop field arrangement, and field search.
• Better time-based analysis with adaptive date grouping and hierarchical date headers on rows and columns.
• More capable drill-down with pagination, sorting, and report-level prefilters.
• Richer exports to Excel, CSV, TSV, and the clipboard, with Excel preserving layout and formatting.
• Improved performance for large, wide, and high-cardinality datasets.

📋 Configuration and interaction

• A new settings panel brings field selection, aggregation, display options, and other pivot controls into a single workflow.
• Drag-and-drop support makes it easier to move and reorder fields across rows, columns, and values.
• Field search helps users work with large schemas more efficiently.
• Fullscreen mode provides a more focused analysis experience.
• Column resizing gives users better control over dense tables.

📊 Analysis features

• Drill-down now supports pagination and sorting for easier record inspection.
• Sorting is applied before pagination so drill-down results stay ordered across pages.
• Report-level prefilters let users narrow data before pivoting.
• More aggregate functions are available for larger-table workflows.

📆 Date and time intelligence

• Typed date and datetime fields now support richer time-based analysis.
• Default date grains adapt to the span of the underlying data.
• Hierarchical date headers support expand and collapse on both axes.

💅 Export and formatting

• Excel export now preserves totals, merged headers, frozen panes, number formats, and conditional formatting.
• DataFrame formatting now carries through more consistently in rendered output and exports.

🏃‍♀️ Performance and reliability

• Frontend parsing and rendering are more efficient, including an improved columnar Arrow path.
• Wide and high-cardinality tables now perform more smoothly.