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FindSimilar

User-friendly library to find similar objects

You can find Full Project Documentation here


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Mission

The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making.

Open Source Project

This is the open source project with MIT license. Be free to use, fork, clone and contribute.

Features

Find similar texts

  • on different languages
  • with or without stopwords
  • using dictionary (or not)
  • using keywords (or not)

Requirements

Development Status

Install

with pip

pip install find-similar

See more in Full Documentation

Quickstart

from find_similar import find_similar

texts = ['one two', 'two three', 'three four']

text_to_compare = 'one four'
find_similar(text_to_compare, texts, count=10)
[TokenText(text="one two", len(tokens)=2, cos=0.5), TokenText(text="three four", len(tokens)=2, cos=0.5), TokenText(text="two three", len(tokens)=2, cos=0)]
  • The result is the list of TokenText instances ordering by cos
  • cos is the mark of texts similarity

See more examples in Full Documentation

Contributing

You are welcome! To easy start please check: