Skip to main content

Analyze IMRT QA Report data mined with IQDM-PDF

Project description

PyPI lgtm lgtm code quality Lines of code Repo Size Code style: black

What does it do?

Desktop application for IQDM-PDF with statistical analysis.

Executables

Single-file executables are available. See attachments in the latest release.

Other information

This library is part of the IMRT QA Data Mining (IQDM) project for the AAPM IMRT Working Group (WGIMRT).

Dependencies

  • iqdmpdf - Mine IMRT QA PDF’s

  • wxPython Phoenix - Build a native GUI on Windows, Mac, or Unix systems

  • Bokeh - Interactive Web Plotting for Python

  • NumPy - The fundamental package for scientific computing with Python

  • selenium - A browser automation framework and ecosystem

  • PhantomJS - PhantomJS is a headless web browser scriptable with JavaScript

  • pypubsub - A Python publish-subscribe library

Install and Run

If you prefer to run from source:

$ git clone https://github.com/IQDM/IQDM-Analytics.git
$ cd IQDM-Analytics
$ python iqdma_app.py

Note you may have to use pythonw instead of python, depending on your version.

TODO

  • MS Edge support

  • Ability to cancel PDF-Miner thread

  • Documentation

  • Docstrings

Credits

Development Lead

  • Dan Cutright, University of Chicago Medicine

Contributors

  • Marc Chamberland, University of Vermont Health Network

  • Serpil Kucuker Dogan, Northwestern Medicine

  • Mahesh Gopalakrishnan, Northwestern Medicine

  • Aditya Panchal, AMITA Health

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

iqdma-0.1.5.tar.gz (669.6 kB view details)

Uploaded Source

Built Distribution

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

iqdma-0.1.5-py3-none-any.whl (674.2 kB view details)

Uploaded Python 3

File details

Details for the file iqdma-0.1.5.tar.gz.

File metadata

  • Download URL: iqdma-0.1.5.tar.gz
  • Upload date:
  • Size: 669.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for iqdma-0.1.5.tar.gz
Algorithm Hash digest
SHA256 1ec317201b4e56433bf0dcfa3d920aeab8cdf7c5013ef0fbd1a69367db28a887
MD5 5a071726dde1f3167de4a88534c5d0ee
BLAKE2b-256 c2bfdca56058680d6ca6b54e27b4344e10a0f328266ab8eb8513d4b8dbab9fea

See more details on using hashes here.

File details

Details for the file iqdma-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: iqdma-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 674.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.8

File hashes

Hashes for iqdma-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 334d790ca0078fea5a6ad7b48b2209c90a3d77c5974f152ac4bbeb989bdbc24b
MD5 f9aec0dd6cfacf1f2557749ee312c556
BLAKE2b-256 82cbfb9149700e79a2dec676fb457146c985d20770ccfe5f1988a08ecc10b7d9

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