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

h2non/imaginary

Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing observed · 2026-08-28

github.com/h2non/imaginary · homepage · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

46/100

  • Activity 51
  • Release rhythm 8
  • Longevity 100
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: 4200
  • days_rel: n/a
  • days_push: 298
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

6079 stars · 500 forks observed · 2026-08-28

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

Imaginary is a fast HTTP microservice written in Go for high-level image processing, backed by bimg and libvips. It exposes image operations like resizing, cropping, and watermarking via a simple HTTP API, with first-class Docker support and formats including JPEG, PNG, WEBP, HEIF, GIF, and more.

Use cases

  • resize and crop images via an HTTP API
  • generate thumbnails on the fly for a website
  • convert images between JPEG, PNG, and WEBP
  • add watermarks to uploaded images at scale
  • run a self-hosted image processing service in Docker
  • process images faster than ImageMagick with low memory usage

When to choose

  • you need a standalone, scalable image-processing service decoupled from your app
  • you want high throughput and low memory footprint via libvips
  • you deploy with Docker, Fly.io, Cloud Run, or Kubernetes
  • you need URL-based image fetching plus API token and URL signature protection

When to avoid

  • you only need simple image manipulation inside a single app process (use a library like bimg or sharp directly)
  • you need advanced editing features like complex filters or layered compositions
  • you cannot run a separate service or container in your infrastructure

Facets

service · maturity stable

image-processing http-server api-framework microservices image-processing web-development media go self-hosted cloud libvips bimg image-resizing thumbnail-generation watermarking image-conversion http-api microservice docker linux

10 sources

Member repositories

RepositoryRoleHealth v2
h2non/imaginarymain46

For agents

markdown · JSON · MCP: product_card(name="h2non/imaginary")

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