Skip to main content

Ewoks 3DXRD workflows

Project description

ewoks3dxrd

ewoks3dxrd is a project to process 3DXRD data using ImageD11. It provides an Orange3 graphical user interface to process data with ImageD11 under the form of computational data pipelines composed of several tasks, also called workflows. It can also run the workflows in batch via headless processing by using Ewoks.

Quick start

pip install ewoks3dxrd[full]

Then, launch the Orange canvas with

ewoks-canvas

Open the tutorial workflow or drag widgets from the left panel to the canvas to make a workflow

Documentation

https://ewoks3dxrd.readthedocs.io/

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

ewoks3dxrd-1.0.0rc1.tar.gz (113.9 kB view details)

Uploaded Source

Built Distribution

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

ewoks3dxrd-1.0.0rc1-py3-none-any.whl (165.9 kB view details)

Uploaded Python 3

File details

Details for the file ewoks3dxrd-1.0.0rc1.tar.gz.

File metadata

  • Download URL: ewoks3dxrd-1.0.0rc1.tar.gz
  • Upload date:
  • Size: 113.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for ewoks3dxrd-1.0.0rc1.tar.gz
Algorithm Hash digest
SHA256 7b72888f6b59d333b8aea9873395353bf98a5c5733ca9f1355e58b638867b25f
MD5 1a9d63e95db8bfeebc5d197f72c3a065
BLAKE2b-256 1463365b633032bd66e80f560f281f01ee5b3b84a8a88a4be4d986e4df1d95a4

See more details on using hashes here.

File details

Details for the file ewoks3dxrd-1.0.0rc1-py3-none-any.whl.

File metadata

  • Download URL: ewoks3dxrd-1.0.0rc1-py3-none-any.whl
  • Upload date:
  • Size: 165.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for ewoks3dxrd-1.0.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 5586dd9c7526f8965af3b91fc30541a1ad522175adcd3e45044286ff6789ce39
MD5 887896b80901217d6a885306f7d6aa17
BLAKE2b-256 5e1d031ced501990b94aed6e3605bedd0eab44dd01abbc2d3daee982d3d579c5

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