What problem does it solve? Reading a spreadsheet is easy, but producing polished Excel reports (styled headers, charts, formulas, conditional formatting) or programmatically parsing specific ranges, merged cells, and huge files requires library-specific knowledge that is easy to get wrong. ## Core Features & Use Cases - Workbook Generation: Create styled, multi-sheet XLSX reports with formulas, frozen panes, conditional formatting, and embedded bar/line/pie charts using openpyxl, pandas, or xlsxwriter. - Programmatic Parsing: Extract specific sheets and cell ranges into typed records, back-fill merged cells, distinguish formulas from cached values, and stream 100k+ row files with bounded memory. - Use Case: Export an EC2 inventory with cost columns formatted as currency, add a severity color scale to a health-issue summary, or parse a customer-provided capacity plan with merged header cells into JSON records. ## Quick Start Generate a styled multi-sheet Excel cost report from my AWS usage data with a bar chart of cost by service.
