Ross ROSS = Recommend OSS · open-source software intelligence for agents

lithammer/fuzzysearch

:pig: Tiny and fast fuzzy search in Go observed · 2026-08-28

github.com/lithammer/fuzzysearch · homepage · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

66/100

  • Activity 95
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4061
  • days_rel: n/a
  • days_push: 32
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1323 stars · 68 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tiny and fast fuzzy string matching library for Go, inspired by bevacqua/fuzzysearch. It supports matching, ranking via Levenshtein distance, finding matches in word lists, and Unicode-normalized and case-insensitive matching.

Use cases

  • fuzzy match a string against partial user input in Go
  • filter a list of words by fuzzy query
  • rank fuzzy matches by Levenshtein distance
  • case-insensitive fuzzy string matching
  • unicode-normalized fuzzy matching for accented text
  • build autocomplete or quick-filter features

When to choose

  • you need lightweight, dependency-free fuzzy matching in a Go program
  • you want fast subsequence matching plus ranking for filtering lists
  • you need Unicode normalization or case folding in matches

When to avoid

  • you need full-text or relevance-scored search over large corpora (use a search engine like Bleve)
  • you need edit-distance-only matching without subsequence semantics
  • your project is not in Go

Facets

library · maturity stable

search-engine parser developer-tools go cross-platform fuzzy-matching levenshtein-distance string-matching unicode-normalization ranking search algorithms

4 sources

Member repositories

RepositoryRoleHealth v2
lithammer/fuzzysearchmain66

For agents

markdown · JSON · MCP: product_card(name="lithammer/fuzzysearch")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem