- [RatcliffObershelp Distance](https://xlinux.nist.gov/dads/HTML/ratcliffObershelp.html) is based on the length of matching subsequences. It is used in the Python library [difflib](https://docs.python.org/2/library/difflib.html).
The function `evaluate` returns the litteral distance between two strings (a value of 0 being identical). While some distances are bounded by 1, other distances like `Hamming`, `Levenshtein`, `Damerau-Levenshtein`, `Jaccard` can be higher than 1.
```julia
using StringDistances
evaluate(Hamming(), "martha", "marhta")
#> 2
evaluate(QGram(2), "martha", "marhta")
#> 6
```
#### compare
The higher level function `compare` directly computes for any distance a similarity score between 0 and 1. A value of 0 being completely different and a value of 1 being completely similar.
- For strings composed of several words, the Python library [fuzzywuzzy](http://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/) defines a few modifiers for the `RatcliffObershelp` distance. This package defines them for any string distance:
- [Partial](http://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/) adjusts for differences in string lengths. The function returns the maximal similarity score between the shorter string and all substrings of the longer string.
- [TokenSort](http://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/) adjusts for differences in word orders by reording words alphabetically.