# marhta
[](https://opensource.org/licenses/MIT)
Fast string similarity algorithms
*This library is still in development and may not be stable.*
## Installation
```bash
pip install marhta
```
## Usage
```python
from marhta import levenshtein_similarity, jaro_winkler_similarity
# Calculate string similarities
print(levenshtein_similarity("hello", "helo")) # 0.8
print(jaro_winkler_similarity("martha", "marhta")) # 0.961
# Find best matches
from marhta import levenshtein_match
strings = ["apple", "banana", "orange", "pear"]
matches = levenshtein_match("aple", strings)
print(matches) # [("apple", 0.8), ("pear", 0.5)]
```
## Features
- Levenshtein distance and similarity measures
- Jaro-Winkler distance and similarity measures
- Fuzzy string matching with customizable thresholds
## Performance
Written in Rust for improved performance, while maintaining a Pythonic API.
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