Good Python modules for fuzzy string comparison? [closed]

difflib can do it.

Example from the docs:

>>> get_close_matches('appel', ['ape', 'apple', 'peach', 'puppy'])
['apple', 'ape']
>>> import keyword
>>> get_close_matches('wheel', keyword.kwlist)
['while']
>>> get_close_matches('apple', keyword.kwlist)
[]
>>> get_close_matches('accept', keyword.kwlist)
['except']

Check it out. It has other functions that can help you build something custom.

Levenshtein Python extension and C library.

https://github.com/ztane/python-Levenshtein/

The Levenshtein Python C extension module contains functions for fast computation of - Levenshtein (edit) distance, and edit operations - string similarity - approximate median strings, and generally string averaging - string sequence and set similarity It supports both normal and Unicode strings.

$ pip install python-levenshtein
...
$ python
>>> import Levenshtein
>>> help(Levenshtein.ratio)
ratio(...)
    Compute similarity of two strings.

    ratio(string1, string2)

    The similarity is a number between 0 and 1, it's usually equal or
    somewhat higher than difflib.SequenceMatcher.ratio(), becuase it's
    based on real minimal edit distance.

    Examples:
    >>> ratio('Hello world!', 'Holly grail!')
    0.58333333333333337
    >>> ratio('Brian', 'Jesus')
    0.0

>>> help(Levenshtein.distance)
distance(...)
    Compute absolute Levenshtein distance of two strings.

    distance(string1, string2)

    Examples (it's hard to spell Levenshtein correctly):
    >>> distance('Levenshtein', 'Lenvinsten')
    4
    >>> distance('Levenshtein', 'Levensthein')
    2
    >>> distance('Levenshtein', 'Levenshten')
    1
    >>> distance('Levenshtein', 'Levenshtein')
    0