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

zincsearch/zincsearch

ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go. observed · 2026-08-28

github.com/zincsearch/zincsearch · homepage · Go · NOASSERTION (other) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 86
  • Release rhythm 8
  • Longevity 100

Flags: archived no_license

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: 1735
  • days_rel: n/a
  • days_push: 85
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

17889 stars · 775 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ZincSearch is a lightweight full-text search engine written in Go, built on the bluge indexing library, designed as a resource-efficient alternative to Elasticsearch. It ships as a single binary with an embedded Vue web UI, Elasticsearch-compatible ingestion APIs, schema-less indexing, and out-of-the-box authentication.

Use cases

  • add full-text search to my application without running Elasticsearch
  • lightweight search engine for a small server or VPS
  • drop-in Elasticsearch API replacement for ingesting and querying data
  • self-hosted search with a built-in web UI
  • schema-less document indexing with aggregations and highlighting
  • run a search engine in Docker or Kubernetes with minimal resources

When to choose

  • you need full-text search with far fewer resources than Elasticsearch
  • you want a single-binary, low-ops search service with a web UI
  • you ingest data via Elasticsearch APIs but don't need Kibana
  • you want schema-less indexing and simple setup in minutes

When to avoid

  • you need log search or observability use cases (use OpenObserve instead)
  • you rely on full Elasticsearch DSL or Kibana compatibility
  • you need large-scale clustered/distributed search at Elasticsearch's maturity level
  • you require a fully GA/production-certified release (project is pre-1.0)

Facets

service · maturity active

search-engine http-server auth databases self-hosted backend windows self-hosted go full-text-search elasticsearch-compatible lightweight single-binary schema-less vue-ui search linux macos docker kubernetes

6 sources

Member repositories

RepositoryRoleHealth v2
zincsearch/zincsearchmain10

For agents

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

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