OHIF

    OHIF/Viewers

    OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

    web
    cancer-imaging-research
    dicom
    dicom-viewer
    hacktoberfest
    healthcare-imaging
    TypeScript
    MIT
    4.4K stars
    4.4K forks
    4.4K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 2 days ago, with 182 contributors on GitHub.

    Gained 6% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a zero-footprint, extensible web-based medical image viewer supporting DICOM and oncology lesion tracking.
    • Offers a highly customizable platform with modular extensions enabling 2D, 3D, and advanced medical imaging workflows.
    • Use for integrating a configurable DICOM viewer into cancer imaging research applications.
    • Use for developing clinical trial imaging tools with longitudinal lesion measurement tracking.
    • Use for visualizing whole slide microscopy and multimodal medical images in healthcare informatics.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The OHIF Viewer is a zero-footprint medical image viewer provided by the Open Health Imaging Foundation (OHIF). It is a configurable and extensible progressive web application with out-of-the-box support for image archives which support DICOMweb.

    The OHIF Viewer can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

    Almost everything offers some degree of customization and configuration. If it doesn't support something you need, we accept pull requests and have an ever improving Extension System.

    Excerpt from the OHIF/Viewers README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    4.4K+65

    Open issues

    606+67

    Compared with peers in Web

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    OHIF/Viewers4.4K—652 days ago
    Category median48.4K+6.2K44—

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