semvec/pypi-packages huggingface dataset:
BeautifulSoup 3.2.2
Screen-scraping library
License: MIT

Beautiful Soup is a library that makes it easy to scrape information
from web pages. It sits atop an HTML or XML parser, providing Pythonic
idioms for iterating, searching, and modifying the parse tree.

# Discontinuation notice

You should use the 'beautifulsoup4' package instead of this package.

Development on the 3.x series of Beautiful Soup ended in 2011, and the
series will be discontinued on January 1, 2021, one year after the
Python 2 sunsetting date. At some point after that, the
'beautifulsoup' pip package will be updated to a recent version of
Beautiful Soup. This will free up the 'beautifulsoup' package name to
be used by a more recent release.

If you're relying on version 3 of Beautiful Soup, you really ought to
port your code to Python 3. A relatively small part of this work will
be migrating your Beautiful Soup code to Beautiful Soup 4.
pydiq 0.2.2
Simple open-source DICOM browser/viewer in Python and Qt4.
License: MIT
Requires Python: >=3.6

[![Latest Version](https://img.shields.io/pypi/v/pydiq.svg)](https://pypi.python.org/pypi/pydiq/)
[![License](https://img.shields.io/pypi/l/pydiq.svg)](https://pypi.python.org/pypi/pydiq/)
[![DOI](https://zenodo.org/badge/3862/janpipek/pydiq.png)](http://dx.doi.org/10.5281/zenodo.11480)

pydiq
=====
Simple open-source multi-platform DICOM browser/viewer in Python and Qt.

**NOTE** This project has not been updated for a long time. Currently, I have no capacity to improve it. If you feel like contributing, I'll be happy to accept your enhancements / bug fixes. The UI seems not to be entirely working...

![Vertebrae](https://raw.githubusercontent.com/janpipek/pydiq/master/doc/vertebra.png "Vertebrae")

Features
--------

* Easy (and fast) viewing of all images in a directory
* Zooming (1:N and N:1)
* Mouse control of window center and width (as in Aeskulap Viewer)
* Proper measurement of Hounsfield units and position by mouse
* PNG image export

To Do
-----

* Better zooming
* Better MRI images support
* RT dose images support
* View in different planes (rectangular + others)
* Coordinate mapping (using translation and rotation matrix)
* Integration of anonymization features (see https://github.com/janpipek/anonymize_dicom )
* Information from the DICOM file in user-friendly display

Dependencies
------------

* Python 3.6+
* qtpy (and therefore PyQt4 / PyQt5 / PySide - not automatically installed by pip!)
* pydicom (1.3)

Tested on Linux and Windows.

Installation
------------
The easiest way is `pip install pydiq`.

Usage
-----
```
Usage: pydiq [OPTIONS] [PATH]

Options:
  --help  Show this message and exit.
```

Limitations
-----------
Currently, the viewer supports only Computed Radiography (CR), Computed Tomography (CT) and
Magnetic Resonance Imaging (MRI) images with normal orientation (x, y, z)
in one-slice-per-file format.