OHIF/Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages observed · 2026-08-28
Health v2 · maintenance only
98/100
- Activity 99
- Release rhythm 96
- 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: 12
- age_days: 3977
- days_rel: 30
- days_push: 7
- n_releases_24m: 24
Adoption not part of the score
4309 stars · 4327 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
OHIF Viewer is an open-source, zero-footprint web-based medical imaging viewer for DICOM images, built as a configurable and extensible progressive web application with React and Cornerstone3D. It works out-of-the-box with DICOMweb-compatible image archives and includes an oncology-focused Lesion Tracker plus shared extension packages for building custom imaging applications.
Use cases
- view DICOM medical images in a web browser
- deploy a zero-footprint radiology viewer for a PACS
- track lesions in oncology imaging studies
- build a custom medical imaging application on an extensible framework
- view DICOM SEG segmentations and RT structure sets
- stream large radiology studies via DICOMweb
- render PET/CT fusion and volume rendering in the browser
When to choose
- you need a web-based DICOM viewer that requires no local installation
- your image archive supports DICOMweb (or you can adapt via the Data Source API)
- you want an extensible, plugin-based imaging platform to build specialized workflows on
- you need features like measurement tracking, segmentation display, fusion, or volume rendering
When to avoid
- you need FDA 510(k) cleared or CE marked diagnostic software for clinical diagnosis
- you need a native desktop PACS workstation rather than a browser-based viewer
- your images are not DICOM and you cannot adapt them via the Data Source API
Facets
application · maturity active
image-processing ui-components frontend-framework plugin-system web-framework healthcare image-processing web-development frontend developer-tools browser self-hosted cross-platform dicom dicomweb medical-imaging radiology pacs cornerstone3d lesion-tracking oncology progressive-web-app react typescript web-server nodejs docker
4 sources
- readme: https://github.com/OHIF/Viewers · fetched 2026-08-28 · 7ed18ae3ffff
- homepage: https://docs.ohif.org/ · fetched 2026-08-29 · 14ec2e805f03
- site_page: https://docs.ohif.org/development/getting-started · fetched 2026-08-29 · 2946a4e1b1db
- site_page: https://docs.ohif.org/faq · fetched 2026-08-29 · abc83bead6cc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OHIF/Viewers | main | 98 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem