Skip to main content

Character trigram fuzzy set.

Project description

Character trigram fuzzy set implementation providing cosine similarity-based fuzzy matching.

This library does that one thing on iterables of strings. Any beyond that–Levenshtein distance, scoring, bigram fallback, etc.–is left as an exercise to the reader.


import os.path
from timeit import timeit
import requests

# Retrieve a file containing around 470,000 English words
url = ''
r = requests.get(url, stream=True)
words_path = os.path.expanduser('~/words.txt')
if not os.path.isfile(words_path):
    with open(words_path, 'wb') as f:
        for chunk in r.iter_content(chunk_size=1024):
            if chunk:

# Usage
import charactertrigramfuzzyset as ctfs
items = [line.rstrip() for line in open(words_path, 'r')]
fs = ctfs.CharacterTrigramFuzzySet(items)

# Profiling, generally around 10-20 ms per call on my machine
timeit("fs.get('bryan')", setup='''
import charactertrigramfuzzyset as ctfs
items = [line.rstrip() for line in open('{words_path}', 'r')]
fs = ctfs.CharacterTrigramFuzzySet(items)
'''.format(words_path=words_path), number=1000)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

charactertrigramfuzzyset-0.0.1.tar.gz (3.4 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page