yanyiwu/simhash
中文文档simhash值计算 observed · 2026-08-28
Health v2 · maintenance only
65/100
- Activity 93
- Release rhythm 8
- Longevity 100
Flags: no_license
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: 4643
- days_rel: 453
- days_push: 44
- n_releases_24m: 1
Adoption not part of the score
1170 stars · 263 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A C++ header-only library that computes Simhash fingerprints for Chinese documents, using CppJieba for tokenization and keyword extraction. It supports Hamming-distance-based similarity comparison and includes an optional HTTP server for serving Simhash values.
Use cases
- compute simhash fingerprints for Chinese documents
- detect near-duplicate Chinese web pages or articles
- compare text similarity via Hamming distance
- deduplicate large corpora of Chinese text
- serve simhash calculations over HTTP
When to choose
- you need fast, near-duplicate detection specifically for Chinese text
- you want a lightweight header-only C++ library with no linking overhead
- you need an embeddable fingerprinting algorithm with tunable keyword counts
When to avoid
- you need Simhash for non-Chinese languages without adapting the tokenizer
- you need a managed-language (Python/Java) library rather than C++
- you require semantic similarity rather than lexical near-duplicate detection
Facets
library · maturity stable
nlp search-engine developer-tools developer-tools cpp simhash chinese-text text-deduplication fingerprinting hamming-distance header-only cppjieba natural-language-processing search linux macos
1 source
- readme: https://github.com/yanyiwu/simhash · fetched 2026-08-28 · 1e6fc5940830
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| yanyiwu/simhash | main | 65 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem