NumPy vs. python-docx Comparison


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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About python-docx is a Python library for creating and updating Microsoft Word (.docx) files. Paragraphs are fundamental in Word. They’re used for body text, but also for headings and list items like bullets. You’re free to specify both width and height, but usually, you wouldn’t want to. If you specify only one, python-docx uses it to calculate the properly scaled value of the other. This way the aspect ratio is preserved and your picture doesn’t look stretched. If you don’t know what a Word paragraph style is you should definitely check it out. Basically, it allows you to apply a whole set of formatting options to a paragraph at once. python-docx allows you to create new documents as well as make changes to existing ones. Actually, it only lets you make changes to existing documents; it’s just that if you start with a document that doesn’t have any content, it might feel at first like you’re creating one from scratch.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Component Library solution for DevOps teams	Audience Any user in need of a solution to create new documents as well as make changes to existing ones
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information python-docx python-docx.readthedocs.io/en/latest/
Alternatives Polars	Alternatives pdf2docx Artifex
h5py HDF5	Thinkfree Document Editor SDK Thinkfree
broot	zope.interface Python Software Foundation
PyQtGraph	Synap Office Synapsoft
Dask View All	imageio View All
Categories Component Libraries Supported	Categories Component Libraries Supported

Integrations 3LC Supported Avanzai Supported Codédex Supported Coiled Supported Dash Supported Flower Supported Gensim Supported JAX Supported MPI for Python (mpi4py) Supported Microsoft Word Not Supported NVIDIA FLARE Supported PyCharm Supported Python Not Supported Spyder Supported Train in Data Supported Unify AI Supported Visual Studio Code Supported Yandex Data Proc Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations 3LC Not Supported Avanzai Not Supported Codédex Not Supported Coiled Not Supported Dash Not Supported Flower Not Supported Gensim Not Supported JAX Not Supported MPI for Python (mpi4py) Not Supported Microsoft Word Supported NVIDIA FLARE Not Supported PyCharm Not Supported Python Supported Spyder Not Supported Train in Data Not Supported Unify AI Not Supported Visual Studio Code Not Supported Yandex Data Proc Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 2 Integrations
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