Distance
A Python library for computing string similarity metrics including Levenshtein, Hamming, Jaccard, and Sorensen distances.
What is Distance?
Distance is a Python library for computing similarity metrics between sequences, such as strings, tuples, or lists. It implements algorithms like Levenshtein and Hamming distances to measure how different two sequences are, which is useful for tasks like spell-checking, data deduplication, and natural language processing.
Python developers working on text processing, data cleaning, NLP applications, or anyone needing to compare sequences for similarity in a performant way.
It provides a comprehensive set of distance metrics in one package, with both pure Python and optional C extensions for speed, making it versatile for both prototyping and production use.
Overview
Levenshtein and Hamming distance computation
Use Cases
Best For
- Spell-checking and fuzzy string matching
- Data deduplication and record linkage
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