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What is yarl?

Each part of a URL, which includes the scheme, user, password, host, port, path, query, and fragment, can be accessed via their designated properties. When a URL is manipulated, it creates a new URL object, and any strings passed into the constructor or modification functions are automatically encoded to achieve a standard format. Standard properties return values that are percent-decoded, while the raw_ variants are used when you need the encoded strings. For a version of the URL that is easier for humans to read, the .human_repr() method can be utilized. The yarl library offers binary wheels on PyPI for various operating systems, including Linux, Windows, and MacOS. If you need to install yarl on systems like Alpine Linux, which do not meet manylinux standards because they lack glibc, you will have to compile the library from the source using the provided tarball. This compilation requires that you have a C compiler and the appropriate Python headers installed on your system. It's crucial to note that the uncompiled, pure-Python version of yarl tends to be significantly slower than its compiled counterpart. However, users of PyPy will find that it generally uses a pure-Python implementation, meaning it does not suffer from these performance discrepancies. Consequently, PyPy users can rely on the library to deliver consistent behavior across different environments, ensuring a uniform experience no matter where it is run.

What is Locust?

Locust is a versatile open-source tool designed for load testing, permitting users to specify interactions through Python scripts, enabling the simulation of millions of concurrent users on your system. Say goodbye to intricate user interfaces or cumbersome XML setups—its focus is on clear and concise coding. The tool excels in supporting distributed load testing across numerous machines, allowing for the replication of extensive simultaneous user activities. A standout feature of Locust is the ability to express all test scenarios purely in Python, which removes the hassle of dealing with complex interfaces. Installing Locust is simple, as it can be easily acquired from PyPI using pip. By utilizing Python for test definitions, users have the flexibility to tailor and enhance their load tests according to their specific requirements. Furthermore, this adaptability makes it an ideal choice for developers looking to integrate load testing seamlessly into their existing workflows.

Media

Media

Integrations Supported

Apolo
Python
Testable

Integrations Supported

Apolo
Python
Testable

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/yarl/

Company Facts

Organization Name

Locust

Company Website

locust.io

Categories and Features

Categories and Features

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

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