# ivmartel/dwv

DICOM Web Viewer: open source zero footprint medical image library.

Repository: https://github.com/ivmartel/dwv
Canonical: https://ross.abutalabs.com/products/dwv
Homepage: https://ivmartel.github.io/dwv/
Language: JavaScript
License: GPL-3.0
License Family: copyleft
Topics: dicom, medical-imaging, zero-footprint, viewer, javascript, dicom-viewer
Last push: 2026-08-22T12:34:18+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 84, longevity 100
- inputs: {"age_days": 5460, "days_push": 11, "days_rel": 28, "gap_med": 59, "n_releases_24m": 10}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1844, forks 627 (observed 2026-08-28T04:05:43.317796+00:00)

## What it is
DWV (DICOM Web Viewer) is an open source, zero-footprint JavaScript/HTML5 library for viewing and manipulating DICOM medical images in any modern browser. It supports loading local or remote DICOM data and provides tools like scroll, zoom, pan, contrast, MPR, annotations, and imaging filters.

## Use cases
- view DICOM medical images in a web browser
- embed a medical image viewer in a web app or PACS interface
- display CT or MRI scans on tablets and phones
- add annotations and regions of interest to medical images
- apply threshold and sharpening filters to DICOM images
- load remote DICOM data from a PACS server
- build a zero-install medical imaging viewer

## When to choose
- you need a pure JavaScript DICOM viewer with no server-side dependencies
- you want to integrate DICOM viewing into an existing web application or PACS
- you need cross-platform viewing on laptops, tablets, and phones
- you need standard manipulation tools like zoom, pan, contrast, and MPR

## When to avoid
- you need certified diagnostic-use software (DWV is explicitly not certified)
- you need a full PACS server or DICOM archive solution
- your project requires a permissive license (DWV is GPL-3.0)
- you need advanced 3D rendering or clinical-grade image analysis

## Facets
- artifact type: library
- maturity: active
- function: image-processing, ui-components, parser
- domain: healthcare, image-processing, web-development, frontend
- platform: browser, cross-platform
- tags: dicom, medical-imaging, zero-footprint, viewer, html5, pacs, javascript, nodejs

## Member repositories
- ivmartel/dwv (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.317796+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 2026-08-30T03:17:56.149303+00:00, confidence not recorded.
  - readme: https://github.com/ivmartel/dwv (fetched 2026-08-28T04:05:43.317796+00:00, sha dd7dba131f27)
  - homepage: https://ivmartel.github.io/dwv/ (fetched 2026-08-29T10:56:55.779495+00:00, sha 2f535c316577)
- Data as of 2026-08-30T08:39:29.467469+00:00.