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Description
The h5py library serves as a user-friendly interface for the HDF5 binary data format in Python. It allows users to handle vast quantities of numerical data and efficiently work with it alongside NumPy. For instance, you can access and manipulate multi-terabyte datasets stored on your disk as if they were standard NumPy arrays. You can organize thousands of datasets within a single file, applying your own categorization and tagging methods. H5py embraces familiar NumPy and Python concepts, such as dictionary and array syntax. For example, it enables you to loop through datasets in a file or examine the .shape and .dtype properties of those datasets. Getting started with h5py requires no prior knowledge of HDF5, making it accessible for newcomers. Besides its intuitive high-level interface, h5py is built on an object-oriented Cython wrapper for the HDF5 C API, ensuring that nearly any operation possible in C with HDF5 can also be performed using h5py. This combination of simplicity and power makes it a popular choice for data handling in the scientific community.
Description
Warcat is a tool and library specifically designed for managing Web ARChive (WARC) files, enabling users to naively combine archives into a single file, extract contents, and perform a variety of commands such as listing available operations and the contents of the archive itself. Users can load an archive, write it back out, split it into individual records, and ensure data integrity by verifying digests and validating conformance to standards. Although the library may not yet be fully thread-safe, its primary aim is to provide a user-friendly and rapid experience akin to manipulating traditional archives like tar and zip. Warcat efficiently handles large, gzip-compressed files by allowing partial extraction as necessary, thus optimizing resource use. It is important to note that Warcat is distributed without any warranty, meaning users should exercise caution by backing up their data and thoroughly testing it prior to use. Each WARC file consists of multiple records joined together, with each record comprising named fields, a content block, and appropriate newline separators, while the content block itself can either be binary data or a structured combination of named fields followed by binary data. By understanding the structure and functionality of WARC files, users can effectively utilize Warcat to streamline their archival processes.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
HDF5
Website
www.h5py.org
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/Warcat/