goldenmatch
Active·★ 54·MIT·Updated 2026-05-29
★ Trending★ Multi-Agent
Entity resolution toolkit — deduplicate, match, and create golden records. 27 MCP tools on Smithery. Zero-config. 97.2% F1.
GoldenMatch is a Python-based entity resolution toolkit that combines zero-config operation, fuzzy matching, probabilistic matching, LLM scoring, privacy-preserving linkage, and golden record synthesis. It works on files or live databases and includes an interactive TUI, REST API, and MCP server.
#a2a#agent#data-engineering#data-quality#dbt#deduplication#entity-resolution#fellegi-sunter
01
Features
01Zero-config deduplication
02Interactive TUI with live threshold tuning
0310+ scoring methods including exact, fuzzy, and embedding
04Privacy-preserving record linkage (PPRL)
05Database sync with incremental matching
02
Compatibility
Python
Python 3.11+
Verified via docs
Polars
Polars-native
Verified via docs
PostgreSQL
Database sync
Verified via docs
DuckDB
DuckDB backend
Verified via docs
Ray
Ray distributed backend
Verified via docs
03
Quick start
1
$ pip install goldenmatch
04
Use cases
↳Deduplicate records in a CSV file
↳Match records across different sources (e.g., new customers vs master database)
↳Privacy-preserving linkage across organizations
05
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Comments
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- OOaklyn ZhangMay 22, 2026
Used for data quality automation in CRM cleanup projects, very reliable
- Ellis RiveraMay 1, 2026
27 MCP tools for entity resolution and golden record creation is comprehensive coverage
- QQuinn ThompsonApr 23, 2026
The golden record approach produces consistent merged entities without manual rules
- RReese NguyenApr 19, 2026
The deduplication quality on real-world messy data is impressive