RapidFuzz provides libraries for fuzzy string matching in various programming languages.

Python

For Python there are the following libraries:

• RapidFuzz provides various string metrics with a focus on making them as fast as possible.
• Levenshtein provides a couple string metrics and median implementations. For string metrics generally rapidfuzz should be te preferred choice. Opposed to all other libraries this library is currently GPLv2 licensed.
• python-Levenshtein this is an alias to the Levenshtein library that only exists for backwards compatibility reasons.
• JaroWinkler provides a fast implementation of Jaro and JaroWinkler similarity. This was placed in RapidFuzz at some point and so this largely exists for applications already using it.
• CyDifflib drop in replacement for difflib in the Python standard library which is faster.

C++

For C++ there are the following libraries:

• rapidfuzz-cpp provides various string metrics with a focus on making them as fast as possible. This should be used when the performance of the algorithms is more important than a slightly larger binary.

Similar to rust there will be an implementation focussing on binary size in the future.

Rust

For rust there are the following libraries:

• rapidfuzz-rs provides various string metrics with a focus on making them as fast as possible. This should be used when the performance of the algorithms is more important than a slightly larger binary.
• strsim-rs provides a lot of string metrics of rapidfuzz, but has a focus on keeping the binary size as small as possible. This should be used when performance of the algorithms doesn't really matter too much, since the application only compares a small set of strings. An example for this would be suggestions in a CLI.