Skip to main content

Python distribution of the DCMQI library collection.

Project description

DCMQI Python Distributions

Actions Status

PyPI version PyPI platforms

Overview

dcmqi (DICOM (dcm) for Quantitative Imaging (qi)) is a collection of libraries and command line tools with minimum dependencies to support standardized communication of quantitative image analysis research data using [DICOM standard(https://en.wikipedia.org/wiki/DICOM)].

This project provides the infrastructure for building the dcmqi Python wheels. For more information about dcmqi, please refer to https://github.com/QIICR/dcmqi.

The Python wheels provided here contain the official itkimage2segimage, segimage2itkimage, tid1500writer, tid1500reader, itkimage2paramap, and paramap2itkimage executable, which is sourced from the GitHub releases.

Once the wheel is installed, a convenient launcher executable is automatically placed in the PATH for each of the above mentioned libraries. This launcher is created during installation by pip, leveraging the [project.scripts] configuration defined in the pyproject.toml file.

Packaged dcmqi version

This package wraps the official dcmqi v1.5.3 release.

Platforms

The following platforms are supported by the binary wheels:

OS Arch
Linux Intel manylinux 64-bit
macOS 13+ Apple Silicon
macOS 15+ Intel
Windows 64-bit

License

This project is maintained by the Imaging Data Commons team. It is covered by the OSI-approved MIT License.

dcmqi is distributed under the OSI-approved BSD 3-Clause License. For further details regarding dcmqi, please visit https://github.com/QIICR/dcmqi.

Acknowledgments

This software is maintained by the IDC team, which has been funded in whole or in part with Federal funds from the NCI, NIH, under task order no. HHSN26110071 under contract no. HHSN261201500003I.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dcmqi-0.3.3.tar.gz (15.9 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

dcmqi-0.3.3-py3-none-win_amd64.whl (25.8 MB view details)

Uploaded Python 3Windows x86-64

dcmqi-0.3.3-py3-none-win32.whl (25.8 MB view details)

Uploaded Python 3Windows x86

dcmqi-0.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (50.7 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

dcmqi-0.3.3-py3-none-macosx_13_0_x86_64.whl (55.6 MB view details)

Uploaded Python 3macOS 13.0+ x86-64

dcmqi-0.3.3-py3-none-macosx_13_0_arm64.whl (54.7 MB view details)

Uploaded Python 3macOS 13.0+ ARM64

File details

Details for the file dcmqi-0.3.3.tar.gz.

File metadata

  • Download URL: dcmqi-0.3.3.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dcmqi-0.3.3.tar.gz
Algorithm Hash digest
SHA256 eeb06516bdc33377b2794897c4f5494d906c54c08dbe2475c4312f82103b3fc5
MD5 6fe7640c9f44e964924913bb5bc87099
BLAKE2b-256 92a586092957038ed37aa4a983d2359f3b8d317e17d4d767a35bda919d18cacf

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3.tar.gz:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dcmqi-0.3.3-py3-none-win_amd64.whl.

File metadata

  • Download URL: dcmqi-0.3.3-py3-none-win_amd64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dcmqi-0.3.3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 ca684f09857323389355196cba3c58fce30f4581f1d5220725e2ab08596f6e0f
MD5 da9c39c0358b56ee97946ce1ecf970ce
BLAKE2b-256 7a55ef843f12194e132a7164bc4e4d9c8a8b21968b2aa18eb735aa10ff4d9b8f

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3-py3-none-win_amd64.whl:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dcmqi-0.3.3-py3-none-win32.whl.

File metadata

  • Download URL: dcmqi-0.3.3-py3-none-win32.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: Python 3, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dcmqi-0.3.3-py3-none-win32.whl
Algorithm Hash digest
SHA256 daf19ba9326574eb5df6bed91598e6ee55852637c277e37ff29231936526d5ab
MD5 f71d114c577e7965ebdb7da2ac98cb89
BLAKE2b-256 0d8c627aa19bd31f676f4a76ead59ed67eafefc83bf3bbd1d74166fb4c4d5291

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3-py3-none-win32.whl:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dcmqi-0.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for dcmqi-0.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5a689b17c1163094a73468d8a624611d460ad86969d24ffd22aeccfee7cb4dc1
MD5 98957a02b3e89a1fe935cbd8abd7b20b
BLAKE2b-256 b6515cb2a239afac5d9b3b1c0949c52d49b58bd5aa1eb180b0a728ad50bd0366

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dcmqi-0.3.3-py3-none-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for dcmqi-0.3.3-py3-none-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 cb007a8991928ff09c864d4c468255f460f6457629a449ad3d52390bf11489f3
MD5 6c42ea30455bf75d3c137fedbd185388
BLAKE2b-256 e4039b4e18577625154c7d7288911ab5e155e8902188554d5102d396cb155a92

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3-py3-none-macosx_13_0_x86_64.whl:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dcmqi-0.3.3-py3-none-macosx_13_0_arm64.whl.

File metadata

  • Download URL: dcmqi-0.3.3-py3-none-macosx_13_0_arm64.whl
  • Upload date:
  • Size: 54.7 MB
  • Tags: Python 3, macOS 13.0+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dcmqi-0.3.3-py3-none-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 92f5f942d0349357e511c6a5d3a3703884c3f2127e822e2a204dec8021aa83c4
MD5 4b03749e779b182082f750f10166ed25
BLAKE2b-256 515115b3f30caa5d9a9ae2e97bcc2dd406de93aaa3a5b8725ce2ca68bf549077

See more details on using hashes here.

Provenance

The following attestation bundles were made for dcmqi-0.3.3-py3-none-macosx_13_0_arm64.whl:

Publisher: cd.yml on ImagingDataCommons/dcmqi-python-distributions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page