`pip install python-docx==0.8.11`

Create and update Microsoft Word .docx files.

Source

Among top 1000 packages on PyPI.

Over 2.7M downloads in the last 90 days.

Commonly used with `python-docx`

Based on how often these packages appear together in public requirements.txt files on GitHub.

lxml	Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.
textract	extract text from any document. no muss. no fuss.
tldextract	Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List. By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well.
tinycss	tinycss is a complete yet simple CSS parser for Python.
pyquery	A jquery-like library for python
cssutils	A CSS Cascading Style Sheets library for Python
Pyphen	Pure Python module to hyphenate text
tagme	Official TagMe API wrapper for Python
iatisegmenter	Python library for segmenting IATI-XML data to one country or region
jishaku	A discord.py extension including useful tools for bot development and debugging.
asyncjisho	An async wrapper for the Jisho.org API
python3-timbl	Python 3 language binding for the Tilburg Memory-Based Learner
colibricore	Colibri Core is an NLP tool as well as a C++ and Python library (all included in this package) for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` which allows you to build, view, manipulate and query pattern models.
aspell-python-py3	Wrapper around GNU Aspell for Python 3
django-infuse	A series of class based view mixins.
openaccess_epub	Converts OpenAccess Journal articles to EPUB
columnize	Format a simple (i.e. not nested) list into aligned columns.
colors.py	Convert and manipulate color values
chirptext	ChirpText is a collection of text processing tools for Python.

Version usage of `python-docx`

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.8.11	45.49%
0.8.10	43.12%
0.8.7	6.28%
0.8.6	3.75%