Data processing engine for the NVEIL SDK. Install via: pip install nveil

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pierrejacquet from gravatar.com pierrejacquet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Proprietary
  • Author: NVEIL
  • Requires: Python >=3.10
  • Provides-Extra: dicom , server , docs
Report project as malware

Project description

choregraph

Data processing engine for the NVEIL SDK.

Do not install this package directly. Install the SDK instead:

pip install nveil

Documentation: docs.nveil.com

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pierrejacquet from gravatar.com pierrejacquet

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Proprietary
  • Author: NVEIL
  • Requires: Python >=3.10
  • Provides-Extra: dicom , server , docs

Release history Release notifications | RSS feed

1.3.0

1.2.0

1.1.0

This version

1.0.1

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

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

choregraph-1.0.1-cp313-cp313-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.13Windows x86-64

choregraph-1.0.1-cp313-cp313-musllinux_1_2_x86_64.whl (19.3 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

choregraph-1.0.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (19.3 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

choregraph-1.0.1-cp312-cp312-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.12Windows x86-64

choregraph-1.0.1-cp312-cp312-musllinux_1_2_x86_64.whl (19.4 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

choregraph-1.0.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (19.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

choregraph-1.0.1-cp311-cp311-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.11Windows x86-64

choregraph-1.0.1-cp311-cp311-musllinux_1_2_x86_64.whl (19.8 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

choregraph-1.0.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (19.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file choregraph-1.0.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.0.1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for choregraph-1.0.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 ff17aa7e51a340216788d760cf3e1eef5d160e1b8fb1596eca7cebb3b8cdbc3e
MD5 0acf463f9f3d79b43304f6d9f502aefb
BLAKE2b-256 2bf5491d5f4b81a201e4cf879cc67a04d28b294e75c33d2bd76c96aba1eb9b38

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e55130f4131f91252a9778bd83bc229dadb968256bcfd4cb5182d5bb160dc94c
MD5 b633206904aeda4530e47e9e8e02ab54
BLAKE2b-256 542b9c57c0f8e94d2b658ce1812cd978bb1d8cdf7ef56bb4548bb2f5d47e9b1d

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2fca5252eeaef8f6becc5d8e11bd859ef20c636b4f035c4db437fa32338f540b
MD5 358b58b08c498157ef6da716a1399493
BLAKE2b-256 12b0e383adb34ff52c477f0d7ae523780f5960118ae4cc2a11b139eb17581f84

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.0.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for choregraph-1.0.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a6bf646bf5aa6cc4f470535a3ee5ad8e14a89f74661be58f474e687465eb67c5
MD5 4b56ad9fc5bb4627eb03344c2c1e21e6
BLAKE2b-256 e5ab7f842343db8e9e56b5556bfc13eac76f99232e1238c31830c76bddf9fbe4

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b11407ae25aff2d9b073ad36edfadeb63a2b5e305847cc4f0fa233ef9def2bc1
MD5 3dfc25495eba6699c0d4ddd3c6f20aee
BLAKE2b-256 f05d9c1e9fbad0a2df422ffc4321e6e6559148bc5ef52da7cc991e61fe75388b

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ba6d57acb8bc7d33d4f109fe604c8762560b0a4bb2d3ca55cb5c57bcadcca6a0
MD5 9fa8869833d97623ef1cae4bb54e8deb
BLAKE2b-256 67b4c9fdf6bcd3ff118a965bb9a9abd463280a44e835c71dbff2b9fa70cb4183

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.0.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for choregraph-1.0.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7f0dfa3c0827c98f9aa89e09a498da7f02c1b0556b844e966d4f0913ff59c47d
MD5 b446fb3c8d7b39cf222cacdbcab37470
BLAKE2b-256 35335f5f50e9c34eaa3f6a52c063469d3f8549cfb8d6f0038fcc3f6e5df615aa

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 2d3a272e7dbaf54fd5714d0771e6d4eb604e6d7e10d7f317b7f03ee63605c07e
MD5 1257f58d9b7eea343eb426aeb1d87efb
BLAKE2b-256 37db53f4f64a907397e6e690496c6fb03bca43a95d7e888ce18a4d47ccd5fd04

See more details on using hashes here.

File details

Details for the file choregraph-1.0.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.0.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f409a37e82bc5bb30c287cec3874f460966de50b953f4b67da1974a3aa2b6101
MD5 40a8dfeed037d97a963623088bf06fbe
BLAKE2b-256 dd53e86028d3ee1a491203cb8fea7c2476c4cb825cd48d6cbc65a3e4b48dc533

See more details on using hashes here.

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