ParaTest VS Infection

Compare ParaTest vs Infection and see what are their differences.

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ParaTest Infection
5 10
2,250 1,975
1.0% 0.5%
8.5 8.3
3 days ago 6 days ago
PHP PHP
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ParaTest

Posts with mentions or reviews of ParaTest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-29.

Infection

Posts with mentions or reviews of Infection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-18.

What are some alternatives?

When comparing ParaTest and Infection you can also consider the following projects:

Codeception - Full-stack testing PHP framework

Pest - Pest is an elegant PHP testing Framework with a focus on simplicity, meticulously designed to bring back the joy of testing in PHP.

Behat - BDD in PHP

rector-laravel - Rector upgrades rules for Laravel

PHPT - The PHP Interpreter

php-mysql-engine - A MySQL engine written in pure PHP

psalm-plugin-phpunit - A PHPUnit plugin for Psalm

rector-symfony - Rector upgrade rules for Symfony

Kahlan - :heavy_check_mark: PHP Test Framework for Freedom, Truth, and Justice

churn-php - Discover files in need of refactoring.

Mockery - Mockery is a simple yet flexible PHP mock object framework for use in unit testing with PHPUnit, PHPSpec or any other testing framework. Its core goal is to offer a test double framework with a succinct API capable of clearly defining all possible object operations and interactions using a human readable Domain Specific Language (DSL).