A extremely fast Python library for the Levenshtein distance, written in Rust 🦀.
Project description
lev
lev is an extremely fast Python library for the Levenshtein distance and similarity ratio. Written in Rust. 🦀
Installation
uv add lev-rs
or if you prefer slow:
pip install lev-rs
Usage
import lev
lev.distance("kitten", "sitting") # 3
lev.distance("résumé", "resume") # 2
lev.distance("日本語", "日本") # 1
lev.ratio("kitten", "sitting") # 0.769...
lev.ratio("", "") # 1.0
For more details on the API see the API Reference.
Benchmarks
lev is benchmarked against the fastest Python Levenshtein libraries:
rapidfuzz,
editdistance, and
edlib. We excluded slower implementations like
pylev and python-Levenshtein.
Benchmarks were run on an Apple Mac Mini M2 Pro (macOS 26.2) using Python 3.13. Each string pair is exactly 100 characters long. Results represent the total wall time for 1,000 repetitions using Python's
timeit. To reproduce, runscripts/benchmark.py.
ASCII
lev is significantly faster than the other libraries on 100-character ASCII strings.
Other Encodings
lev maintains its lead across all four CPython string-encoding kinds.
Latin-1
CJK
Emoji
Contact
To get in contact, please open an issue or contact me via github@markusbilz.com.
Project details
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