TheFuzz
Fuzzy String Matching in Python observed · 2026-08-28
Health v2 · maintenance only
36/100
- Activity 9
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2007
- days_rel: n/a
- days_push: 548
- n_releases_24m: 0
Adoption not part of the score
3645 stars · 167 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TheFuzz (formerly FuzzyWuzzy) is a Python library for fuzzy string matching that uses Levenshtein distance to compute similarity ratios between strings. It provides scoring functions like ratio, partial_ratio, token_sort_ratio, and token_set_ratio to match strings that are similar but not identical.
Use cases
- match misspelled product or event names across data sources
- deduplicate records with slightly different text labels
- fuzzy search for the closest string in a list
- compare user input against known values with typos
- link entity names between two datasets
- score similarity of two strings in Python
When to choose
- you need simple, well-tested fuzzy string similarity scoring in Python
- you want token-based matching that tolerates word order and partial matches
- you need a lightweight pure-Python library with optional C acceleration via python-Levenshtein
When to avoid
- you need high-performance matching over millions of strings at scale (consider RapidFuzz)
- you need semantic or embedding-based similarity rather than edit-distance
- GPL-2.0 licensing of the legacy fuzzywuzzy package is a problem (note thefuzz itself is MIT)
Facets
library · maturity active
nlp developer-tools data-science python cross-platform fuzzy-matching string-similarity levenshtein-distance record-linkage text-matching natural-language-processing
4 sources
- readme: https://github.com/seatgeek/thefuzz · fetched 2026-08-28 · fd271b33d756
- homepage: http://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/ · fetched 2026-08-29 · 8f782e9d559e
- registry_pypi: https://pypi.org/pypi/fuzzywuzzy/json · fetched 2026-08-29 · 283445edea7f
- registry_pypi: https://pypi.org/pypi/thefuzz/json · fetched 2026-08-29 · 85c7d29084d8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| seatgeek/thefuzz | main | 36 |
| seatgeek/fuzzywuzzy | mirror | 10 |
For agents
markdown · JSON · MCP: product_card(name="seatgeek/thefuzz")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem