h5py

h5py

HDF5
NumPy h5py

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NumPy:

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.
h5py:

About

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.
NumPy:

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
h5py:

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
NumPy:

Audience

Component Library solution for DevOps teams
h5py:

Audience

IT teams in need of a Component Library solution
NumPy:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
h5py:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
NumPy:

API

Offers API Supported
h5py:

API

Offers API Supported
NumPy:

Screenshots and Videos

h5py:

Screenshots and Videos

NumPy:

Pricing

Free
Free Version Supported
Free Trial Not Supported
h5py:

Pricing

Free
Free Version Supported
Free Trial Not Supported
NumPy:

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
h5py:

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
NumPy:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
h5py:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
NumPy:

Company Information

NumPy
numpy.org
h5py:

Company Information

HDF5
www.h5py.org
NumPy:

Alternatives

h5py:

Alternatives

NumPy:
h5py

h5py

HDF5
h5py:
NumPy:
h5py:
NumPy:
h5py:
NumPy:
h5py:
NumPy:

Categories

h5py:

Categories

NumPy:

Integrations

3LC Supported
Codédex Supported
Cython Supported
Dash Supported
Gensim Supported
MPI for Python (mpi4py) Supported
NumPy Not Supported
PaizaCloud Supported
PyCharm Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Unify AI Supported
Visual Studio Not Supported
Visual Studio Code Supported
Yamak.ai Supported
Yandex Data Proc Supported
h5py Supported
imageio Supported
scikit-learn Supported
h5py:

Integrations

3LC Not Supported
Codédex Not Supported
Cython Not Supported
Dash Not Supported
Gensim Not Supported
MPI for Python (mpi4py) Not Supported
NumPy Supported
PaizaCloud Not Supported
PyCharm Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Unify AI Not Supported
Visual Studio Supported
Visual Studio Code Not Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
imageio Not Supported
scikit-learn Not Supported
NumPy:
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Claim NumPy and update features and information
h5py:
Claim h5py and update features and information
Claim h5py and update features and information