Sheetz v1.0.1 — Initial Stable Release

Sheetz v1.0.1 — Initial Release

We're excited to release the first stable version of Sheetz — a lightweight Java library
that lets you read, write, and stream Excel (.xlsx/.xls) and CSV files with a single line of code.

What's New

One-Liner API

// Read any Excel or CSV file into typed Java objects
List<Product> products = Sheetz.read("data.xlsx", Product.class);

// Write back in one line
Sheetz.write(products, "output.xlsx");

Key Features

• Zero boilerplate — no Workbook, Sheet, Row, or Cell objects to manage
• True SAX streaming — process million-row files with constant ~10MB memory
• 19 built-in type converters — LocalDate, BigDecimal, Enum, UUID, Boolean, and more
• Annotation-based mapping — @Column for headers, required fields, defaults, custom formats
• Built-in validation — per-row error reporting with column names and row numbers
• Thread-safe — safe for concurrent use in multi-threaded applications
• Multi-format — XLSX, XLS (legacy), and CSV from one unified API

Performance vs Apache POI (100K rows)

Operation	Sheetz	Apache POI	Improvement
Write	423ms	2,453ms	5.8x faster
Memory	~10MB	~340MB	34x less memory
Lines of code	1	45+	45x less code

Maven

<dependency>
    <groupId>io.github.chitralabs.sheetz</groupId>
    <artifactId>sheetz-core</artifactId>
    <version>1.0.1</version>
</dependency>

Resources

• Documentation & Examples
• Performance Benchmarks
• Maven Central

Contributors

Thanks to everyone who tested and provided feedback during development.

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