Google Git
Sign in
fuchsia / third_party / github.com / jamesturk / jellyfish / refs/heads/upstream/main
commit3f68492a2ee4138e032be5cdeb162b32236ef898[log] [tgz]
authorjpt <dev@jpt.sh>Tue Jun 17 00:34:00 2025 -0500
committerjpt <dev@jpt.sh>Tue Jun 17 00:34:00 2025 -0500
tree6d93211959da1a8a08422b89813f276ed686b78a
parent846fae4b210db8ff4ab9dfaed7e2ec9f372728a7 [diff]
codeberg
6 files changed
tree: 6d93211959da1a8a08422b89813f276ed686b78a
  1. .github/
  2. benchmarks/
  3. docs/
  4. python/
  5. src/
  6. testdata/
  7. tests/
  8. .coveragerc
  9. .gitignore
  10. .pre-commit-config.yaml
  11. Cargo.toml
  12. CITATION.cff
  13. Justfile
  14. LICENSE
  15. mkdocs.yml
  16. pyproject.toml
  17. README.md
  18. run-cov.sh
README.md

Overview

jellyfish is a library for approximate & phonetic matching of strings.

Source: https://codeberg.org/jpt/jellyfish

Documentation: https://jamesturk.github.io/jellyfish/

Issues: https://codeberg.org/jpt/jellyfish/issues

PyPI badge

Included Algorithms

String comparison:

  • Levenshtein Distance
  • Damerau-Levenshtein Distance
  • Jaccard Index
  • Jaro Distance
  • Jaro-Winkler Distance
  • Match Rating Approach Comparison
  • Hamming Distance

Phonetic encoding:

  • American Soundex
  • Metaphone
  • NYSIIS (New York State Identification and Intelligence System)
  • Match Rating Codex

Example Usage

>>> import jellyfish
>>> jellyfish.levenshtein_distance('jellyfish', 'smellyfish')
2
>>> jellyfish.jaro_similarity('jellyfish', 'smellyfish')
0.89629629629629637
>>> jellyfish.damerau_levenshtein_distance('jellyfish', 'jellyfihs')
1

>>> jellyfish.metaphone('Jellyfish')
'JLFX'
>>> jellyfish.soundex('Jellyfish')
'J412'
>>> jellyfish.nysiis('Jellyfish')
'JALYF'
>>> jellyfish.match_rating_codex('Jellyfish')
'JLLFSH'