# rhsimplex/image-match

🎇 Quickly search over billions of images

Repository: https://github.com/rhsimplex/image-match
Canonical: https://ross.abutalabs.com/products/image-match
Language: Python
License Family: other
Topics: image-analysis, image-signatures, python, search
Last push: 2022-12-06T11:29:04+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3830, "days_push": 1366, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2978, forks 404 (observed 2026-08-28T04:07:33.071575+00:00)

## What it is
A Python library for computing image signatures and searching for near-duplicate images across corpora of billions of images, backed by Elasticsearch. It is based on the Wong et al. image signature algorithm, similar to pHash, and is intended for duplicate detection rather than conceptual similarity.

## Use cases
- find near-duplicate images in a large corpus
- detect copyright violations of images
- build a reverse image search engine
- deduplicate an image dataset
- search billions of images quickly
- compute perceptual image signatures in python

## When to choose
- you need to find nearly identical or slightly modified images at very large scale
- you want a pHash-like alternative with a scalable database backend
- you need high-rate image insertion into a searchable index

## When to avoid
- you want conceptually or semantically similar image search (e.g. deep learning embeddings)
- you need actively maintained software - the repo is explicitly unmaintained
- you cannot run Elasticsearch as a dependency

## Facets
- artifact type: library
- maturity: abandoned
- function: search-engine, image-processing, database
- domain: image-processing, computer-vision
- platform: python, cross-platform
- tags: image-signatures, duplicate-detection, perceptual-hashing, elasticsearch, reverse-image-search, search

## Member repositories
- rhsimplex/image-match (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:33.071575+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 2026-08-30T07:31:31.997491+00:00, confidence not recorded.
  - readme: https://github.com/rhsimplex/image-match (fetched 2026-08-28T04:07:33.071575+00:00, sha 6cc8474d7cfb)
- Data as of 2026-08-30T08:39:29.467469+00:00.