Load huge CSVs/XLSX files without crashing your computer
WASM engine handles millions of rows when Excel chokes on large files.
Read and write Excel (.xlsx, .xls) and CSV files in Java with one line of code. Annotation-based mapping, streaming for million-row files, built-in validation, 19 type converters. A simpler alternative to Apache POI.
Sheetz literally reduces Apache POI boilerplate to Sheetz.read(...) / Sheetz.write(...), and it pairs that convenience with annotation-based mapping, a fluent multi-sheet builder, built-in streaming for million-row files, and row-level validation. It doesn't invent a new category—EasyExcel and POI already exist—but the one-line API, examples, and Maven releases make it an attractive, pragmatic choice when you need spreadsheet import/export without wrestling with workbook plumbing.
Backend developers, Java engineers building import/export spreadsheet features
WASM engine handles millions of rows when Excel chokes on large files.
DuckDB-powered desktop app queries 5GB CSVs locally in seconds without cloud uploads.
Auto-infers graph schemas from CSVs so you don't have to write Cypher manually.
Prevents duplicate API costs by checking slugs before generating content.
Yet another bulk social poster when Metricool and Buffer already handle CSV uploads.
DuckDB-Wasm runs SQL queries on dropped files directly in your browser, no server needed.