PyStreamXL - Stream large Excel files with constant memory.

PyStreamXL treats spreadsheet data as enterprise asset — query with SQL-like language, validate quality, track transformations, and govern with audit trails. Streams row by row on both read and write, so you never load the entire workbook into memory. Runs ~46× faster than openpyxl on read and ~10× faster on write. Architectural Role: Owns spreadsheet data as enterprise asset. Applies same quality validation and governance as databases. Bridge between spreadsheets and data platforms. Process 1M-row spreadsheets in milliseconds — Never load a workbook into memory; stream rows on demand 46× faster than openpyxl — Rust-powered performance without sacrificing Python simplicity Quality validation built-in — Catch data errors at the source, not downstream in your pipeline Governance + audit trails — Track every transformation; prove data lineage for compliance