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Description
Beautiful Soup is a powerful library designed for the straightforward extraction of data from web pages. It operates on top of an HTML or XML parser, offering Pythonic conventions for traversing, searching, and altering the parse tree. Support for Python 2 was officially ended on December 31, 2020, precisely one year after Python 2 reached its end of life. Consequently, all new developments for Beautiful Soup will now be exclusively focused on Python 3. The last version of Beautiful Soup 4 that provided support for Python 2 was 4.9.3. Additionally, Beautiful Soup is distributed under the MIT license, allowing users to easily download the tarball, incorporate the bs4/ directory into nearly any Python project or library path, and begin utilizing its capabilities right away. This accessibility ensures that developers can quickly integrate web scraping functionalities into their applications without significant barriers.
Description
GDAL serves as a translation library for various raster and vector geospatial data formats, distributed under an MIT-style Open Source License by the Open Source Geospatial Foundation. This library offers a unified raster abstract data model and a single vector abstract data model, simplifying interactions for applications that utilize different supported formats. Additionally, it includes a range of practical command line tools designed for effective data translation and processing, enhancing its functionality and usability in geospatial tasks. For those working with geospatial data, GDAL proves to be an indispensable resource.
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
Beautiful Soup
Website
pypi.org/project/beautifulsoup4/
Vendor Details
Company Name
GDAL
Website
gdal.org/index.html