# deepskystacker/DSS

DeepSkyStacker

Repository: https://github.com/deepskystacker/DSS
Canonical: https://ross.abutalabs.com/products/dss
Language: C
License: NOASSERTION
License Family: other
Last push: 2026-09-02T08:46:00+00:00

## Health v2 (maintenance only)
Score: 93/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 81, longevity 100
- inputs: {"age_days": 3112, "days_push": 0, "days_rel": 46, "gap_med": 44.5, "n_releases_24m": 9}
- 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 1135, forks 109 (observed 2026-09-03T02:15:11.248936+00:00)

## What it is
DeepSkyStacker is a freeware application for registering and stacking deep-sky astrophotography images to improve signal-to-noise ratio. Originally created in 2006 and open-sourced in 2018, it is built with C++ and Qt and runs on Windows, Linux, and macOS.

## Use cases
- stack astrophotography subs to reduce noise
- calibrate dark flat and bias frames for deep sky images
- align and register telescope images
- improve signal to noise ratio of night sky photos
- process RAW frames from astronomy camera
- combine multiple exposures of nebulae and galaxies

## When to choose
- you shoot deep-sky astrophotography and need calibration, registration, and stacking in one free tool
- you want a mature, community-maintained stacking application with cross-platform releases

## When to avoid
- you need planetary or solar system image stacking (specialized tools like AutoStakkert fit better)
- you want a fully automated end-to-end astrophotography processing pipeline including stretching and editing
- you need a library or CLI to embed stacking into your own software

## Facets
- artifact type: application
- maturity: active
- function: image-processing, gui
- domain: astronomy, image-processing, photography
- platform: windows, cpp, cross-platform
- tags: astrophotography, image-stacking, deep-sky, qt, freeware, linux, macos

## Member repositories
- deepskystacker/DSS (main) score 93

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:11.248936+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 2026-08-30T06:36:46.891677+00:00, confidence not recorded.
  - readme: https://github.com/deepskystacker/DSS (fetched 2026-09-03T02:15:11.248936+00:00, sha 8caaafeb72e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.