GoldenMatch

GoldenMatch

Zero-config, high-accuracy entity matching and deduplication at any scale.

Visit GoldenMatch

About GoldenMatch

GoldenMatch is an open-source, zero-configuration entity resolution and deduplication tool designed for researchers, developers, and data engineers dealing with messy, large-scale datasets. It can match and deduplicate records with high accuracy (fuzzy, exact, probabilistic, and LLM approaches) without requiring training data or tuning and works across Python, TypeScript, and SQL environments. Suitable for everything from desktop CSVs to knowledge graph pipelines, it also includes a broader data-quality suite for validation, mapping, and reporting.

Resources

Product Website

Visit GoldenMatch's official website for product details and getting started.

Visit website →

Documentation

Comprehensive guide on how to use GoldenMatch, including setup and examples.

View docs →

Community

Join discussions, ask questions, and share experiences with other users of GoldenMatch.

Join community →

Example Usage

Explore example projects and use cases showcasing GoldenMatch in action.

See examples →