RapidFuzz

Written in C++ with algorithmic improvements, providing significant speed gains over FuzzyWuzzy, as documented in benchmarks linked from the README.

Allows integration into any project without GPL restrictions, making it suitable for both open-source and commercial use, unlike FuzzyWuzzy's licensing.

Supports multiple ratio calculations (simple, partial, token sort, token set) based on Levenshtein Distance, enabling diverse fuzzy matching scenarios.

Includes CachedRatio for repeated comparisons against multiple strings, reducing computation time in batch operations, as shown in usage examples.

Easily integrates with OpenMP for multithreading, boosting performance on large datasets with example code provided in the README.