Infection VS ParaTest

Compare Infection vs ParaTest and see what are their differences.

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Infection ParaTest
10 5
1,975 2,250
0.6% 1.1%
8.3 8.5
11 days ago 7 days ago
PHP PHP
BSD 3-clause "New" or "Revised" License MIT 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.

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.

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.

What are some alternatives?

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

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

Codeception - Full-stack testing PHP framework

rector-laravel - Rector upgrades rules for Laravel

Behat - BDD in PHP

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

PHPT - The PHP Interpreter

psalm-plugin-phpunit - A PHPUnit plugin for Psalm

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

churn-php - Discover files in need of refactoring.

rector-symfony - Rector upgrade rules for Symfony

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).