FuzzyWuzzy Python Library

Last Updated : 9 Jan, 2026

FuzzyWuzzy is a Python library for fuzzy string matching that uses Levenshtein Distance to compare two strings and returns a similarity score from 0 to 100.

Requirements

  • Python 2.7 or higher
  • python-Levenshtein
  • difflib

Installation

To install the FuzzyWuzzy Python library, use:

pip install fuzzywuzzy
pip install python-Levenshtein

How to use FuzzyWuzzy Python Library?

Import the library:

Python 
from fuzzywuzzy import fuzz
from fuzzywuzzy import process

Simple Ratio

The simple ratio measures similarity between two strings.

Python 
fuzz.ratio('geeksforgeeks', 'geeksgeeks')  
fuzz.ratio('GeeksforGeeks', 'GeeksforGeeks')  
fuzz.ratio('geeks for geeks', 'Geeks For Geeks')

Partial ratio

Ignores extra characters at the start or end of a string.

Python 
fuzz.partial_ratio("geeks for geeks", "geeks for geeks!")  # 100
fuzz.partial_ratio("geeks for geeks", "geeks geeks")      # 64

Token Sort

Ignores word order by sorting tokens first.

Python 
fuzz.token_sort_ratio("geeks for geeks", "for geeks geeks")  # 100

Token Set Ratio

Ignores duplicate words and order.

Python 
fuzz.token_set_ratio("geeks for geeks", "geeks for for geeks")

Using process for Lists

If you have a list of strings and want the closest match.

Python 
query = 'geeks for geeks'
choices = ['geek for geek', 'geek geek', 'g. for geeks']

process.extract(query, choices)
process.extractOne(query, choices)

WRatio

WRatio is an advanced ratio that gives a more accurate similarity score, handling case and minor differences.

Python 
fuzz.WRatio('geeks for geeks', 'Geeks For Geeks')   
fuzz.WRatio('geeks for geeks!!!','geeks for geeks')      
fuzz.ratio('geeks for geeks!!!','geeks for geeks')

Full Code

Python 
from fuzzywuzzy import fuzz
from fuzzywuzzy import process

s1 = "I love GeeksforGeeks"
s2 = "I am loving GeeksforGeeks"

print("FuzzyWuzzy Ratio: ", fuzz.ratio(s1, s2))
print("FuzzyWuzzy PartialRatio: ", fuzz.partial_ratio(s1, s2))
print("FuzzyWuzzy TokenSortRatio: ", fuzz.token_sort_ratio(s1, s2))
print("FuzzyWuzzy TokenSetRatio: ", fuzz.token_set_ratio(s1, s2))
print("FuzzyWuzzy WRatio: ", fuzz.WRatio(s1, s2))

query = 'geeks for geeks'
choices = ['geek for geek', 'geek geek', 'g. for geeks']

print("\nList of ratios: ")
print(process.extract(query, choices))

print("\nBest among the above list: ", process.extractOne(query, choices))

Output

FuzzyWuzzy Ratio: 84
FuzzyWuzzy PartialRatio: 85
FuzzyWuzzy TokenSortRatio: 84
FuzzyWuzzy TokenSetRatio: 86
FuzzyWuzzy WRatio: 84

List of ratios:
[('g. for geeks', 95), ('geek for geek', 93), ('geek geek', 86)]
Best among the above list: ('g. for geeks', 95)

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