dicomweb-client
Client for DICOMweb RESTful services.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; the remote DICOMweb server must be accessible and compliant with the DICOMweb standard.
- 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 · maintenance · safety
LICENSE (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute this package freely in both open-source and commercial projects with minimal restrictions.
last release 2026-07-28 (17 days) · last repo commit 2026-07-28 · 128 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,247 downloads/mo, #12,880 on PyPI
Alternatives
Verify before relying
pip install dicomweb-client
from dicomweb_client.api import DICOMwebBaseURL
client = DICOMwebBaseURL('https://your-dicomweb-server/dicom-web')
studies = client.search_for_studies()- 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.
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 on this page. Verify before relying on it.
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
dicomweb-client on PyPI
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.
Requires Python 3.10 or later; the remote DICOMweb server must be accessible and compliant with the DICOMweb standard.
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()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 the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesnumpypillowpydicomrequestsretryingtyping-extensions |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,247 / month, #12,880 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: Web EnvironmentIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet :: WWW/HTTPTopic :: Multimedia :: GraphicsTopic :: Scientific/Engineering :: Information Analysis |
Evidence: dicomweb_client-0.61.1-py3-none-any.whl
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