--- id: dicomweb-client version: "0.61.1" license: LICENSE license_treatment: permissive maintenance: active --- # dicomweb-client — Client for DICOMweb RESTful services. License: permissive · Maintenance: active · Downloads: 102.2K/mo ## What it is and what it does dicomweb-client is a Python library that acts as a client for DICOMweb services—the 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. It'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. Use it for: - 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. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. A Python client library for interacting with DICOMweb RESTful services, enabling programmatic access to medical imaging data stored on remote servers. 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. ## Install pip install dicomweb-client uv add dicomweb-client poetry add dicomweb-client ## Installing dicomweb-client Before you install: Low friction install with a pure-Python wheel and six straightforward dependencies. The project is actively maintained with a recent release (17 days old) and steady commit activity, making it reliable for production use. License in practice: Licensed under MIT (permissive), so you can use, modify, and distribute this package freely in both open-source and commercial projects with minimal restrictions. Quickstart: pip install dicomweb-client from dicomweb_client.api import DICOMwebBaseURL client = DICOMwebBaseURL('https://your-dicomweb-server/dicom-web') studies = client.search_for_studies() Requires Python 3.10 or later; the remote DICOMweb server must be accessible and compliant with the DICOMweb standard. Verify before relying: - Whether the package supports all DICOMweb query/retrieve operations or a subset of the standard. - Performance characteristics when working with large imaging datasets or high-volume requests. - Whether command-line interface functionality is documented in the fact sheet but not detailed here. ## Package facts - License: LICENSE (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 102.2K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags dicomweb client library, medical imaging rest api, dicom web services python, remote dicom server access, healthcare imaging data retrieval, dicomweb rest client, medical-imaging, dicom, healthcare-it [View on SkillFed](https://skillfed.io/packages/dicomweb-client) · [View on PyPI](https://pypi.org/project/dicomweb-client/)