Splink (Python, SQL, Spark) - Scalable Fellegi-Sunter and rule-based entity resolution using your choice of SQL or Spark backend. Zingg (Python, Java) - Scalable, active learning model for …

dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on structured data. dedupe will help you: remove duplicate entries …

Zingg is an ML based tool for entity resolution. The following features set Zingg apart from other tools and libraries: Ability to handle any entity like customer, patient, supplier, product etc …

Jul 29, 2025 · Entity resolution 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 …

Example scripts for the dedupe, a library that uses machine learning to perform de-duplication and entity resolution quickly on structured data. Part of the Dedupe.io cloud service and open …

Entity Resolution - Identifying Real-World Entities in Noisy Data Fundamental Theories and Python Implementations In this notebook, we will explore the technical details of fundamental …

Entity resolution, also known as Data Matching or Record linkage is the task of finding a data set that refer to the same or similar real entity across different digital entities present on same or …

Entity resolution for everyone. Minimal. No dependencies. rezolva is a lightweight, flexible, and extensible entity resolution library implemented in pure Python. It's designed for simplicity, …

About An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.

Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to deduplicate and link records from datasets that lack unique identifiers. It is used widely by …