MatchFinder 1.0.3

A Python package for finding similar strings with advanced formatting options.

MatchFinder

A Python package that finds your string's soulmates- quickly, effortlessly, and with style.

Welcome to MatchFinder! It's your go-to tool for finding similar strings in a list. Whether you're matching names, fixing typos, or building a search engine, MatchFinder makes it easy no extra libraries needed, just simple and powerful Python!
_{Developed primarily for fun and learning purposes.}

Why MatchFinder?

1. Simple: No unnecessary imports and install - just good old Python.
2. Customizable: Choose your output style - csv, JSON or text, with or without scores.
3. Speed: Optimized to return results quickly, even for large datasets.
4. Fun: Because boring tools are for boring developers.

Installation

You can install MatchFinder directly from PyPI:

pip install MatchFinder

Usage

Here's how to get started with MatchFinder:

Import the package

from MatchFinder import get_similar

Example 1: Text Output

input_str = "Snake"  # Not exactly your ex, but close enough?
match_list = ["sneaky", "snake", "Snakeskin", "Slither", "your ex", "anaconda"]
n= 3

matches = get_similar(input_str, match_list, n,output_format="text")
print(matches)

output

['Match: snake', 'Match: sneaky', 'Match: Snakeskin']

Example 2: JSON Output

# Get similar strings in JSON format, including similarity scores
result = get_similar(input_str, match_list, n=2, include_score=True, output_format="json")
print(result)

output

[
  {'match': 'snakes', 'score': 0.83},
  {'match': 'snack', 'score': 0.6}
]

Example 3: Customizing Parameters

You can customize the Parameters

n - Maximum number of matches to return.(default 1)
output_format - Desired output format ("text" or "json" or "csv")
include_score - Whether to include similarity scores.
case_insensitive - Ignores case sensitivity of input text and match_list

# Change the number of matches and disable scores
result = get_similar("Python", ["Pithon", "Phyton", "Ruby", "Pytan"], n=2, include_score=False, output_format="text")
print(result)

output

['Match: Pithon', 'Match: Phyton']

Behind the Scenes

MatchFinder uses a custom similarity algorithm to calculate how "close" two strings are.
It's like Tinder for strings but with way less drama.

Contributions

Feel free to fork this project, add cool new features, or just drop by to say hi!

License

This project is licensed under the MIT License.

Get Matching Now!
Install MatchFinder today and make your strings feel a little less lonely.