{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/7"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"},{"label":"Graphics","url":"https://skillfed.io/packages/category/multimedia-graphics/2"}],"enrichment":{"capability":"A Python client library for interacting with DICOMweb RESTful services, enabling programmatic access to medical imaging data stored on remote servers.","skillfed_tags":["medical-imaging","dicom","healthcare-it"],"use_cases":["Query a remote DICOMweb server to search for studies, series, or instances matching specific criteria.","Retrieve medical imaging data from a cloud or institutional DICOM repository for local analysis or visualization.","Build a web-based medical imaging viewer or analysis tool that fetches data on demand from a DICOMweb endpoint.","Automate batch processing of imaging data by programmatically accessing and downloading studies from a remote server.","Integrate DICOM data access into research pipelines or machine learning workflows that require standardized imaging retrieval."],"what_it_does":"dicomweb-client is a Python library that acts as a client for DICOMweb services\u2014the RESTful standard for accessing medical imaging data. It wraps HTTP communication with medical imaging servers, handling the complexity of DICOM data formats and web protocols so you can query, retrieve, and work with medical images programmatically. The package depends on numpy, pillow, pydicom, requests, retrying, and typing-extensions to manage image data, network communication, and retry logic.\n\nIt's designed for researchers, clinicians, and developers building medical imaging applications that need to interact with remote DICOM repositories. The library is actively maintained, supports modern Python versions (3.10 through 3.14), and carries no known security vulnerabilities. It's particularly useful in healthcare IT workflows, digital pathology systems, and research platforms that integrate with standardized imaging infrastructure.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively under MIT. It fills a clear need for standardized DICOMweb access in Python. Install it if you're building healthcare or medical imaging applications that need to communicate with DICOMweb-compliant servers."},"id":"dicomweb-client","links":{"html":"https://skillfed.io/packages/dicomweb-client","md":"https://skillfed.io/packages/dicomweb-client.md","pypi":"https://pypi.org/project/dicomweb-client/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-28","license_spdx":null,"license_treatment":"permissive","name":"dicomweb-client","python_support":"supports_current","summary":"Client for DICOMweb RESTful services."},"popularity":{"monthly_downloads":102247,"position":12880,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.61.1"}