# dsys/match

:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

Repository: https://github.com/dsys/match
Canonical: https://ross.abutalabs.com/products/match
Language: Python
License: NOASSERTION
License Family: other
Topics: elasticsearch, kubernetes-cluster, image-signatures
Last push: 2020-07-25T18:01:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3827, "days_push": 2230, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1265, forks 150 (observed 2026-08-28T04:04:11.011197+00:00)

## What it is
Match is a scalable reverse image search service built on Kubernetes and Elasticsearch, using perceptual hashing to find visually similar images. It exposes an HTTP API and is distributed as a Docker container, scaling to billions of images.

## Use cases
- find duplicate or similar images in a large collection
- build a reverse image search API
- detect near-duplicate images at scale
- search images by visual similarity
- index billions of image signatures on Kubernetes

## When to choose
- you need a self-hosted, scalable reverse image search with an HTTP API
- you already run Elasticsearch and Kubernetes infrastructure
- you need hash-based matching invariant to scaling and rotation

## When to avoid
- you need deep-learning-based semantic image similarity rather than perceptual hashing
- you want a managed SaaS solution
- you need active development - the project's last release was 2020

## Facets
- artifact type: service
- maturity: maintenance
- function: search-engine, image-processing, http-server, api-framework
- domain: computer-vision, image-processing, databases
- platform: python, self-hosted
- tags: reverse-image-search, perceptual-hash, elasticsearch, image-signatures, docker, search, kubernetes

## Member repositories
- dsys/match (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:11.011197+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:03:51.299962+00:00, confidence not recorded.
  - readme: https://github.com/dsys/match (fetched 2026-08-28T04:04:11.011197+00:00, sha 6d5406287719)
- Data as of 2026-08-30T08:39:29.467469+00:00.