# J535D165/recordlinkage

A powerful and modular toolkit for record linkage and duplicate detection in Python

Repository: https://github.com/J535D165/recordlinkage
Canonical: https://ross.abutalabs.com/products/recordlinkage
Homepage: http://recordlinkage.readthedocs.io/
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: record-linkage, entity-resolution, dedupe, string-distance, machine-learning, privacy, python, python-library, data-matching, deduplication, similarity, utrecht-university
Last push: 2024-02-21T18:15:38+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3972, "days_push": 924, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1060, forks 152 (observed 2026-08-28T04:03:25.673360+00:00)

## What it is
A modular Python toolkit for record linkage and duplicate detection across datasets, built on pandas and numpy. It provides indexing (blocking) methods, record comparison/similarity functions, and classifiers for linking records within or between data sources.

## Use cases
- deduplicate customer records in a database
- match records between two datasets with fuzzy string comparison
- entity resolution for messy data
- find duplicate entries in a pandas dataframe
- link patient records across datasets
- probabilistic record linkage with Fellegi-Sunter

## When to choose
- you need to link or deduplicate small to medium-sized tabular datasets in Python
- you want pandas-integrated record linkage with extensible comparison and classification steps
- you need classic record linkage algorithms like blocking, Jaro-Winkler, and supervised classifiers

## When to avoid
- you need to deduplicate very large datasets that exceed pandas memory limits
- you need real-time or streaming entity resolution
- you want a turnkey GUI or service rather than a Python library

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, data-science, etl, search-engine
- domain: data-science, privacy
- platform: python
- tags: record-linkage, entity-resolution, deduplication, data-matching, string-similarity, pandas, blocking, fuzzy-matching, data-engineering, algorithms

## Member repositories
- J535D165/recordlinkage (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:25.673360+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:56:54.112690+00:00, confidence not recorded.
  - readme: https://github.com/J535D165/recordlinkage (fetched 2026-08-28T04:03:25.673360+00:00, sha e50ac16172ba)
  - registry_pypi: https://pypi.org/pypi/recordlinkage/json (fetched 2026-08-29T12:59:25.710415+00:00, sha 3faedb5aaf86)
- Data as of 2026-08-30T08:39:29.467469+00:00.