Data processing engine for the NVEIL Toolkit. 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: extra , dicom , server , docs
Report project as malware

Project description

choregraph

Data processing engine for the NVEIL Toolkit.

Do not install this package directly. Install the Toolkit 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: extra , dicom , server , docs

Release history Release notifications | RSS feed

This version

1.3.0

1.2.0

1.1.0

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-1.3.0-cp313-cp313-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.13Windows x86-64

choregraph-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl (19.8 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

choregraph-1.3.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (19.8 MB view details)

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

choregraph-1.3.0-cp312-cp312-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.12Windows x86-64

choregraph-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl (20.0 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

choregraph-1.3.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (20.0 MB view details)

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

choregraph-1.3.0-cp311-cp311-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.11Windows x86-64

choregraph-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl (20.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

choregraph-1.3.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (20.2 MB view details)

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

File details

Details for the file choregraph-1.3.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.3.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.3.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 05646b0343f657cbd906438cb9b02c119fd0651ba607682f82e68c78a75c0c71
MD5 ae196a828e66065fb85865ac8440e03f
BLAKE2b-256 5b1728c1bb75b9cc54e1418b7eb07ef3a815bbc3ae6c583d1c1cb91da5d0802b

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 2c30e8c578c7be7bd219964fa1215d427db0f120e2b506e4873b448b58283483
MD5 4fa882e6ee9948dbda9faa432c6a4b8e
BLAKE2b-256 11b178ff8b9c4bac7c9396254fe168683d6de4221e645c9ff8085d320fe9d9cf

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b4434ac4c337d6a6914c1432a2e3f6309f692a9c7aef59a9cbb74c11d52d43d4
MD5 368044a2200e923ea19450326ac91fb0
BLAKE2b-256 75d0bb1dec000262fa002f11de2cf29dd033a28aab18d6e2120662a83cca83b4

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.3.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 6.7 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-1.3.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 efc6c0bf6ae9f6173b9776079dce43f5db205f879ea7531460008d913e5d9c1c
MD5 4bcaecce3367128db7f639f09e30da90
BLAKE2b-256 e0d0de8932ef10f6a2bfda3f8382ede8b1064727b535bc1017b09cd1adad2f46

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 165756a89dbd9ed4cb2a815a216d4bc006f81de6acc1a1905a10c35bac1f4679
MD5 7673f7e4d7bada8c278fffb4792c5210
BLAKE2b-256 32ec5b8bd9c8e5f3e16b7ded545be4404b3eaf2135946356f941077c31e22c62

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b4275971296e4cd88d6df219fe83d2acd1722f9d91700e20532336c59e3ae6cf
MD5 3e8a2252cfb310d474cf07e85282437e
BLAKE2b-256 8a30fb7b00287308df9e4f0ed0da27a160736aa13383b08d60d93061811e1e4d

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: choregraph-1.3.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.8 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-1.3.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7958548a268c0d1df7ce32de3cb6c62a41b02b6ed66f937c7dd78729c7584ae4
MD5 e3d8c220e457f1dc16c4a7a65e0f787a
BLAKE2b-256 81393a37ba2048b2d03463ae72387262699d6ac62f88d7e39e7a9c0053312293

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 e7927101e1aa9ab51eb91fac1f5f460dca84746bc155bf292a1f1f1b15b9a348
MD5 94fe1c1cf7763f965fe26cf26700475d
BLAKE2b-256 cc47eaeffac983e6156e142377c17f0afcadfb7fcd59d4a310f6319b71d5132b

See more details on using hashes here.

File details

Details for the file choregraph-1.3.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for choregraph-1.3.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 73e8a8dc297442fe0702d5b69ee54df08814756aad058604f69ecc023a4da3b2
MD5 ed05c0efefc12e66b53aa59416746756
BLAKE2b-256 e6e1ce4437bd69b318e517405ae4d1c3a75f529d5f67c8d542b5094497dfcc81

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