New in version 0.3.0
Now you can reorder your search results using Levenshtein distance!
Sometimes n-gram processes or vectorized processes don't quite order the results correctly.
In these cases you can retrieve a higher number of examples from the indexed corpus, then refine those results with Levenshtein distance.
This gives you the speed of Neofuzz, with the accuracy of TheFuzz :D
from neofuzz import char_ngram_process
process = char_ngram_process()
process.index(corpus)
top_5 = process.extract("your query", limit=30, refine_levenshtein=True)[:5]