NumPy vs. requests Comparison


NumPy	requests Python Software Foundation	+	+
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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 Requests is a simple, yet elegant, HTTP library. Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data, but nowadays, just use the JSON method! Requests is one of the most downloaded Python packages today, pulling in around 30M downloads/week, according to GitHub, Requests is currently depended upon by 1,000,000+ repositories. You may certainly put your trust in this code. Requests is available on PyPI. Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today. Automatic content decompression and decoding. International domains and URLs. Sessions with cookie persistence. Browser-style TLS/SSL verification. Basic & digest authentication, and familiar dict–like cookies. Multi-part file uploads. SOCKS proxy support. Connection timeouts and streaming downloads.
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 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 Teams, individuals and developers looking for a solution providing a HTTP library to send requests
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 Not 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 Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information Python Software Foundation United States pypi.org/project/requests/
Alternatives Polars	Alternatives urllib3
h5py HDF5	HttpMaster Borvid
broot	Fiddler Progress Software
PyQtGraph	Jaunt
Dask View All	yarl Python Software Foundation 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 NVIDIA FLARE Supported PaizaCloud Supported PyCharm Supported Python Not Supported Stat Proxies Not Supported Train in Data Supported Unify AI Supported Yamak.ai Supported Yandex Data Proc Supported h5py 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 NVIDIA FLARE Not Supported PaizaCloud Not Supported PyCharm Not Supported Python Supported Stat Proxies Supported Train in Data Not Supported Unify AI Not Supported Yamak.ai Not Supported Yandex Data Proc Not Supported h5py Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 3 Integrations
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