Compare the Top Code Coverage Tools that integrate with Testmo as of August 2026

This a list of Code Coverage tools that integrate with Testmo. Use the filters on the left to add additional filters for products that have integrations with Testmo. View the products that work with Testmo in the table below.

What are Code Coverage Tools for Testmo?

Code coverage tools are software utilities designed to analyze the source code of an application and report on the level of code that is tested by automated tests. They usually measure the percentage of lines, blocks, or branches of code that have been executed in a test suite. Many popular programming languages have their own code coverage tools available for developers to use. Compare and read user reviews of the best Code Coverage tools for Testmo currently available using the table below. This list is updated regularly.

  • 1
    Xcode

    Xcode

    Apple

    Xcode is Apple’s integrated development environment for building, testing, and distributing apps across Apple platforms. It provides powerful tools for coding, debugging, profiling, and simulation in one unified workspace. Predictive code completion and coding intelligence help developers write cleaner, faster code. Xcode supports advanced debugging and performance analysis to identify issues early. Built-in simulators allow developers to prototype apps across Apple devices without physical hardware. Testing frameworks ensure apps meet quality and performance standards. Xcode streamlines the entire app development lifecycle from idea to deployment.
    Starting Price: Free
  • 2
    PHPUnit

    PHPUnit

    PHPUnit

    PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.
    Starting Price: Free
  • Previous
  • You're on page 1
  • Next