h5py

h5py

HDF5
+
+

Related Products

  • SurveyJS
    62 Ratings
    Visit Website
  • Synchredible
    30 Ratings
    Visit Website
  • JOpt.TourOptimizer
    10 Ratings
    Visit Website
  • dbt
    263 Ratings
    Visit Website
  • Oxylabs
    1,145 Ratings
    Visit Website
  • Capitalcore
    86 Ratings
    Visit Website
  • SKU Science
    16 Ratings
    Visit Website
  • Apify
    1,441 Ratings
    Visit Website
  • KORONA POS
    228 Ratings
    Visit Website
  • TeleRay
    6 Ratings
    Visit Website

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.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IT teams in need of a Component Library solution

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

HDF5
www.h5py.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

NumPy
Python
BrainWave 6
DagsHub
Databricks
Flower
GLM-5.1
GLM-5.2
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
Thunder Compute
Train in Data
Visual Studio
Xcode

Integrations

NumPy
Python
BrainWave 6
DagsHub
Databricks
Flower
GLM-5.1
GLM-5.2
Guild AI
Keepsake
MLJAR Studio
Matplotlib
ModelOp
Thunder Compute
Train in Data
Visual Studio
Xcode
Claim h5py and update features and information
Claim h5py and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information