Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • Flagsmith Reviews & Ratings
    42 Ratings
    Company Website
  • QA Wolf Reviews & Ratings
    270 Ratings
    Company Website
  • MuukTest Reviews & Ratings
    34 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    69 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    152 Ratings
    Company Website
  • Virtuoso QA Reviews & Ratings
    131 Ratings
    Company Website
  • Codemagic Reviews & Ratings
    138 Ratings
    Company Website
  • Docmosis Reviews & Ratings
    51 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    10 Ratings
    Company Website

What is tox?

Tox is crafted to enhance and automate the testing workflow in Python. This utility plays a critical role in a larger effort to streamline the processes of packaging, testing, and deploying Python applications. Acting as an all-in-one virtualenv management tool and a command-line interface for testing, tox enables developers to confirm that their packages are correctly installed across various Python versions and interpreters. It simplifies the execution of tests in each designated environment, allows for the configuration of preferred testing tools, and integrates effortlessly with continuous integration servers, which greatly reduces redundant code and merges CI with shell-based testing. To begin using tox, simply run `pip install tox`. Following that, you should create a `tox.ini` file next to your `setup.py` file, where you will specify crucial information about your project and the different test environments you aim to use. Alternatively, you can automatically create a `tox.ini` file by using `tox-quickstart`, which will assist you with a series of easy questions. Once you've completed the setup, it’s advisable to install and test your project with both Python 2.7 and Python 3.6 to guarantee compatibility. This meticulous process not only ensures the reliability of your software but also enhances its functionality across various Python versions. By adopting these practices, developers can significantly improve their testing efficiency and software quality.

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

Python

Integrations Supported

Apolo
Testable

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Linux

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

tox

Company Website

tox.wiki/en/latest/

Company Facts

Organization Name

Locust

Company Website

locust.io

Categories and Features

Component Libraries

Not specified

Categories and Features

Load Testing

Not specified

Popular Alternatives

Popular Alternatives

JMeter Reviews & Ratings

JMeter

Apache Software Foundation
websockets Reviews & Ratings

websockets

Python Software Foundation
LoadComplete Reviews & Ratings

LoadComplete

SmartBear
Pylons Reviews & Ratings

Pylons

Python Software Foundation