Fuzzywuzzy is a Python library and text processing utility designed to calculate similarity scores between strings. It functions as a text similarity scoring engine and an approximate string matching tool used to identify the closest textual matches within a list of candidate strings.
The library provides a suite of tools for measuring the degree of similarity between pieces of text, accounting for typos and formatting differences. These capabilities include extracting the best match from a candidate list and performing fuzzy string matching through various scoring methods.
The toolset covers text normalization and preprocessing, including the removal of non-alphanumeric characters and whitespace standardization. It also provides algorithmic implementations for distance calculation, token-based set matching, and sequence matching.
