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record-linkage

Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.

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goldenmatch

Zero-config entity resolution & record linkage. The zero-tuning Fellegi-Sunter path beats hand-tuned Splink head-to-head and scales from a CSV to a verified 100M-row dedupe in 9.2 min. Fuzzy/exact/probabilistic + PPRL + LLM + identity graph. Python + edge-safe TypeScript (WASM), SQL-native in Postgres & DuckDB, MCP/REST + dbt/Airflow.

  • Updated Jul 12, 2026
  • Python

Created by Halbert L. Dunn

Released 1946

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entity-resolution
Website
github.com/topics/entity-resolution
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artificial-intelligence nlp