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goldenmatch
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goldenmatch

Active·★ 133·MIT·Updated 2026-10-22

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
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#fellegi-sunter
$ Install
$ pip install goldenmatch
↗ Visit site★ GitHub
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

Alternatives

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benzsevern /
goldenmatch
↗

Entity resolution toolkit — deduplicate, match, and create golden records. 27 MCP tools on Smithery. Zero-config. 97.2% F1.

133MIT
Last commit1d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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