textdistance

Includes over 30 algorithms across categories like edit-based, token-based, and compression-based, as detailed in the README's comprehensive tables, making it a one-stop shop for diverse comparison needs.

All implementations are in pure Python, ensuring cross-platform compatibility without external dependencies, which is emphasized in the 'Pure python implementation' feature for easy deployment.

Supports optional integration with faster external libraries like jellyfish and rapidfuzz via extras installation, with benchmarks showing speed improvements of up to 100x for algorithms like Levenshtein.

Provides consistent methods such as distance() and similarity() for all algorithms, and uniquely supports comparing more than two sequences at once, unlike many alternatives.