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Sonador medical imaging platform. Container environment for development (MinIO for storage, Kafka for streaming, JupyterLab, and Orthanc configured to work with MinIO as a backing store) and deployment packages.
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Orthanc/Sonador integration plugin
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Common components used in the Sonador Gateway and Sonador/Orthanc Cloud plugin.
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Packaging repository for Sonador client library.
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Packaging repository for the Guru Client library.
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Sonador client libraries and helper methods
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Common files shared between the Sonador cloud and Sonador Gateway Orthanc plugins.
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OHIF DICOM viewer and medical imaging application development framework.
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Open source cloud platform for medical imaging visualization and research.
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Guru Labs Client Library: Methods and helper utilities for handling object files uploads, URL and data signature generation, and code for interacting with Guru Labs sites, services and APIs.
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Python helper utility library used for modifying objects, simple actions, and data conversion.
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Sonador command line tools and utilities
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Secure access app for Guru Labs websites. Enables an API key and secret key model and provides helper functions/decorators for authenticating remote requests from non-browser clients.
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Base Django application for Guru Labs web sites. Includes helper methods, models, admin structures, views, and other components for building more complex websites. The base application also serves as a dependency for all other Guru Labs websites.
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The large files application provides reusable models, views, and helper functions to enable CORS access to Amazon S3, Swift, and other object storage systems.
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Tools for working with medical imaging and volumetric data from Sonador.
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Sonador QT provides reusable QT widgets that can be used in desktop applications which consume data from Sonador.
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Plugin which enables Amazon S3 as a storage option for Orthanc instances.
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Examples showing how to configure and interface with a Sonador instance and resources which it manages.
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Sonador Jupyter provides widgets and visualization tools for analyzing data in Jupyter notebooks.