As described on the rapidfuzz github ( https://github.com/rapidfuzz/RapidFuzz )

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy. However there are a couple of aspects that set RapidFuzz apart from FuzzyWuzzy:

• It is MIT licensed so it can be used whichever License you might want to choose for your project, while you're forced to adopt the GPL license when using FuzzyWuzzy
• It provides many string_metrics like hamming or jaro_winkler, which are not included in FuzzyWuzzy (you can use these versions instead of textdistance)
• It is mostly written in C++ and on top of this comes with a lot of Algorithmic improvements to make string matching even faster, while still providing the same results. For detailed benchmarks check this image: https://[raw.githubusercontent.com/rapidfuzz/RapidFuzz/main/docs/img/scorer.svg?sanitize=true
  • Given this, even some distance metrics such as jarowinkler, hamming from textdistance can be replaced by rapidfuzz.
• Fixes multiple bugs in the partial_ratio implementation
• It can be largely used as a drop in replacement for fuzzywuzzy.