arunsupe/semantic-grep
grep for words with similar meaning to the query observed · 2026-08-28
Health v2 · maintenance only
14/100
- Activity 0
- Release rhythm 8
- Longevity 54
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: 768
- days_rel: n/a
- days_push: 744
- n_releases_24m: 0
Adoption not part of the score
1246 stars · 29 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
w2vgrep is a grep-like command-line tool that finds words semantically similar to a query using word2vec embeddings, with familiar grep options like context lines, line numbers, and similarity thresholds. It supports multiple languages and reads from files or stdin.
Use cases
- search text for words with similar meaning instead of exact matches
- grep a document for synonyms of a concept like 'death'
- pipe text from curl or stdin and find semantically related terms
- search multilingual text with word embeddings from the terminal
- find paraphrased terminology in large text files
When to choose
- you want grep-style UX but need semantic rather than literal matching
- you work with plain text corpora and want lightweight local semantic search without an LLM
- you need a fast, offline tool driven by word2vec embeddings
When to avoid
- you need full semantic search over documents or passages rather than individual words
- you want transformer-based embeddings or contextual understanding
- you need to index and query large document collections with ranking
Facets
cli-tool · maturity active
search-engine nlp cli developer-tools cli go grep word2vec semantic-search text-processing word-embeddings command-line natural-language-processing linux macos
1 source
- readme: https://github.com/arunsupe/semantic-grep · fetched 2026-08-28 · 5c0ab71a8cb4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| arunsupe/semantic-grep | main | 14 |
For agents
markdown · JSON · MCP: product_card(name="arunsupe/semantic-grep")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem