FindSimilar

User-friendly library to find similar objects

You can find Full Project Documentation here

First you can try our DEMO WEBAPP for a quick introduction to the find-similar

Workflows

Package

Support

Downloads

Languages

Development

Repository Stats

Menu

• Mission
• Open Source Project
• Features
• Requirements
• Development Status
• Install
• Quickstart
• Contributing

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

• nltk, pymorphy3
• See more in Full Documentation

Development Status

• Package already available on PyPi
• See more in Full Documentation

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'
result = find_similar(text_to_compare, texts, count=10)
for item in result:
    print(item.text)
    print(item.cos)

More examples in Full Documentation

Contributing

You are welcome! To easy start please check:
- Full Documentation
- Contributing
- Developer Documentation
- Code of Conduct
- Security Policy
- Governance
- Support