Skip to main content

A package that uses other algorithms for fuzzy matching

Project description

Stringsim

What is it?

This is a fuzzy matching algorithm like fuzzywuzzy, but instead of using only one algorithm this uses 3 with a composite score available as well as access to use any of the algorithms.

Installation

pip install stringsim

How does it work?

It has all of the major algorithms for fuzzy matching: cosine similarity, levenchtein distance, and ngrams (bigrams support for other numbers coming soon). This package can also find the top match from a list of a query using an unweighted average.

What can this be used for?

Well it can be used in applications where one needs to find the best match out of a list of names etc. Can even be used for txt files.

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

stringsim-0.0.2.tar.gz (2.3 kB view hashes)

Uploaded Source

Built Distribution

stringsim-0.0.2-py3-none-any.whl (4.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page