Dedupe is an open-source Python library designed for record linkage and entity resolution, which involves identifying and merging duplicate records in a dataset. It employs machine learning techniques to perform fuzzy matching of data, allowing users to clean and organize datasets where exact matching is insufficient. Dedupe is particularly useful for handling messy data with typographical errors or varied data formats. It is highly configurable, enabling users to define custom data types and field comparisons, and supports both static and active learning to improve the matching process. The library is available for installation via PyPI and is widely used in data cleaning and preparation tasks.