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Description

The MacPorts Project is a community-driven open-source initiative aimed at creating a user-friendly platform for compiling, installing, and upgrading various types of open-source software—whether command-line, X11, or Aqua—on the macOS operating system. To facilitate this, we offer the MacPorts software package, which operates via the command line and is licensed under a 3-Clause BSD License, granting users seamless access to thousands of ports that streamline the process of managing open-source software on Mac computers. Our repository maintains a single software tree that aligns with the latest versions of every software title (port) we offer, avoiding the complications of categorizing them into “stable” and “unstable” versions, primarily focusing on compatibility with macOS Mojave v10.14 and later, including support for macOS Monterey v12 on both Intel and Apple Silicon hardware. With a vast array of ports available across multiple categories, the collection is continually expanding to meet the needs of users. Each update aims to enhance user experience while ensuring that the most current software options are readily accessible.

Description

All components of a URL, including scheme, user, password, host, port, path, query, and fragment, can be accessed through their respective properties. Every manipulation of a URL results in a newly generated URL object, and the strings provided to the constructor or modification functions are automatically encoded to yield a canonical format. While standard properties return percent-decoded values, the raw_ variants should be used to obtain encoded strings. A human-readable version of the URL can be accessed using the .human_repr() method. Binary wheels for yarl are available on PyPI for operating systems such as Linux, Windows, and MacOS. In cases where you wish to install yarl on different systems like Alpine Linux—which does not comply with manylinux standards due to the absence of glibc—you will need to compile the library from the source using the provided tarball. This process necessitates having a C compiler and the necessary Python headers installed on your machine. It is important to remember that the uncompiled, pure-Python version is significantly slower. Nevertheless, PyPy consistently employs a pure-Python implementation, thus remaining unaffected by performance variations. Additionally, this means that regardless of the environment, PyPy users can expect consistent behavior from the library.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
macOS Mojave

Integrations

Python
macOS Mojave

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

MacPorts

Website

www.macports.org

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/yarl/

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Product Features

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