Open Source Mac Code Coverage Tools - Page 2
Sort By:
Code Coverage Tools for Mac
View 44 business solutions-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
-
Resolve Support Tickets 2x Faster with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
-
1
The Automatic JUnit Creation Tool analyzes java classes to map all possible test branches. The tool then guides users through the generation of a JUnit test.
-
2
BeCover is a Java code coverage tool based on source-code analysis. The main goal is to keep it small and fast, so using it as a plugin in the common IDE's can be achieved.
-
3
Code Quality and Security for C#
Code analyzer for C# and VB.NET projects
Sonar offers a single cohesive solution with a consistent set of metrics and hundreds of static analysis rules to detect your coding issues early. Plus fast and high-precision analysis means high value, low noise, and reliable results always. A single solution for dozens of popular languages, development frameworks and IaC platforms. Our powerful language-specific analysis not only detects coding issues but also helps you understand what's wrong and how to fix it. Our publicly available ruleset includes thousands of rules covering various issue categories and language standards. Open the rule in SonarQube / SonarCloud, scroll down and (in case the rule has parameters), you can configure the parameters for each Quality Profile the rule is part of. Standalone NuGet packages can be configured the same way as SonarLint in connected mode. -
4
An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
EL4Ant is a light and efficient build system based on Apache Ant. A project is described in XML as modules with transitive dependencies. Features are provided thanks to plugins: Java execution, JUnit reports, EMMA code coverage, Eclipse integration...
-
6
Easy Coverage for Java
Dynamically generated unit tests for basic verifications.
Easy Coverage is a tool that can dynamically generate unit tests to perform basic verifications, thus leaving more time for the developers. When writing unit tests, developers often have to write the same elementary verifications over and over for most classes. This is tedious and error-prone, and keeps developers away from writing more meaningful unit tests. Easy Coverage is extensible and highly configurable. It can work as a standalone product, or be used with JUnit, which is highly recommended. Support for TestNG is planned. If you want to get started, you should go to the wiki and the quick start. -
7
Essential React
A minimal skeleton for building testable React apps using Babel
A minimal skeleton for building testable React apps using Babel. The design goals are to use fewer tools (no yeoman, gulp, bower, etc...) Babel 6 with Webpack and Hot Loader. Fast testing with mocked-out DOM. Import CSS files as class names. Separate smart and dumb components. No specific implementation of Flux or data fetching patterns. A core philosophy of this skeleton app is to keep the tooling to a minimum. For this reason, you can find all the commands in the scripts section of package.json. This leverages React Hot Loader to automatically start a local dev server and refresh file changes on the fly without reloading the page. It also automatically includes source maps, allowing you to browse code and set breakpoints on the original ES6 code. Build minified app for production using the production shortcut. -
8
Express & mongoose REST API Boilerplate
A boilerplate application for building RESTful APIs Microservice
A boilerplate application for building RESTful APIs Microservice in Node.js using express and mongoose in ES6 with code coverage and JsonWebToken Authentication. Helps you stay productive by following best practices. Follows Airbnb's Javascript style guide. JavaScript code linting is done using ESLint, a pluggable linter tool for identifying and reporting on patterns in JavaScript. Uses ESLint with eslint-config-Airbnb, which tries to follow the Airbnb JavaScript style guide. Supports code coverage of ES6 code using istanbul and mocha. Code coverage reports are saved in the coverage/directory post yarn test execution. Open coverage/lcov-report/index.html to view the coverage report. yarn test also displays code coverage summary on the console. Code coverage can also be enforced overall and per file as well, configured via .istanbul.yml. -
9
gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
-
11
A cross platform Http web server developed using C++. Agile methodology with emphasis on :- 1. Good Design 2. Object Oriented Programming 3. Refactoring 4. Static/Dynamic Analysis, Unit-testing, Code Coverage 5. Software Engineering best practices.
-
12
An integrated testing framework, covering test case generation, execution, bug reporting, code coverage and coding conventions. Currently This is a module suite for netbeans IDE, integrating some open source PHP Testing Tools
-
13
JUnitMetrics is a tool that enables to measure basic JUnit and Cactus tests metrics (like number of tests, assertions, number of executed assertions). It is great, complementary solution to code coverage tools and mutation testers.
-
14
Jacoco Android Gradle Plugin
Gradle plugin that creates JaCoCo test reports for Android unit tests
A Gradle plugin that auto-creates and configures JaCoCo code coverage tasks for each Android app/module variant, saving you from manual setup across build types and flavors. -
15
It is a JavaDoc and comment coverage tool. It check the quality of JavaDoc and comments in Java source files. The output is like the EMMA Java code coverage.
-
16
Modern C++ Template
A template for modern C++ projects using CMake, Clang-Format
A quick C++ template for modern CMake projects aimed to be an easy-to-use starting point. This is my personal take on such a type of template, thus I might not use the best practices or you might disagree with how I do things. Any and all feedback is greatly appreciated! Modern CMake configuration and project, which, to the best of my knowledge, uses the best practices. An example of a Clang-Format config, inspired from the base Google model, with minor tweaks. This is aimed only as a starting point, as coding style is a subjective matter, everyone is free to either delete it (for the LLVM default) or supply their own alternative. Static analyzers integration, with Clang-Tidy and Cppcheck, the former being the default option. Doxygen support, through the ENABLE_DOXYGEN option, which you can enable if you wish to use it. Unit testing support, through GoogleTest (with an option to enable GoogleMock) or Catch2. Code coverage, enabled by using the ENABLE_CODE_COVERAGE op. -
17
Nebula-Python-SDK
A python SDK for managing Nebula container orchestrator
A python SDK for managing Nebula container orchestrator. First, get NebulaPythonSDK onto your machine, now use it in your code. Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes. -
18
-
19
PHP Code Coverage
Collection, processing, and rendering functionality for PHP code
The php-code-coverage library, authored by Sebastian Bergmann, enables collection, processing, and rendering of PHP code coverage data. It integrates with PHPUnit or other testing frameworks to track which lines, methods, or classes are executed during tests. The library supports generating detailed reports in formats like HTML, Clover, or XML, helping teams understand test completeness and identify untested code paths. -
20
PHPCoverage is an open-source tool for measuring and reporting code coverage provided by the test suite of a PHP application. PHPCoverage can instrument and record the line coverage information for any PHP script at runtime.
-
21
Extends Cobertura to measure and report on code covered by unit tests in same package. Also adds improved reporting features, including measuring code coverage against a coverage policy.
-
22
Java Web Application Stack built on top of Wicket, Spring, Hibernate/Ibatis, Jetty, HSQLDB, Junit, functional testing (Selenium), code coverage(Cobertura), DB Migration and CI. Its intent is to provide a rapid method for creating java web new projects
-
23
REACT COOL STARTER
A starter boilerplate for a universal web app
A simple but feature-rich starter boilerplate for creating your own universal app. It built on the top of React, Redux, React Router and Express. Includes all the hot stuff and modern web development tools such as Redux Toolkit, TypeScript, Webpack, Babel, PostCSS, React Refresh, Jest and React Testing Library. See the “Features” section for other awesome features you can expect. They're several React frameworks today, however this is a DIY-oriented start-kit. It shows you how to build a universal web app from scratch and how to test it. Redux Toolkit is the official, opinionated, batteries-included toolset for efficient Redux development. It includes several utility functions that simplify the most common Redux use cases. In a word, we can do more work with less code, start from the tutorial to learn more about it. -
24
Setup PHP in GitHub Actions
GitHub action to set up PHP with extensions, php.ini configuration
GitHub action to set up PHP with extensions, php.ini configuration, coverage drivers, and various tools. Setup PHP with required extensions, php.ini configuration, code-coverage support and various tools like composer in GitHub Actions. This action gives you a cross-platform interface to set up the PHP environment you need to test your application. Refer to Usage section and examples to see how to use this. Refer to the self-hosted setup to use the action on self-hosted runners. Operating systems based on the above Ubuntu and Debian versions are also supported on best effort basis. If the requested PHP version is pre-installed, setup-PHP switches to it, otherwise it installs the PHP version. Specific versions of extensions available on PECL can be set up by suffixing the extension's name with the version. This is useful for installing old versions of extensions that support end-of-life PHP versions. -
25
SimpleCov
Code coverage for Ruby with a powerful configuration library
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites. SimpleCov is a code coverage analysis tool for Ruby. It uses Ruby's built-in Coverage library to gather code coverage data, but makes processing its results much easier by providing a clean API to filter, group, merge, format, and display those results, giving you a complete code coverage suite that can be set up with just a couple lines of code. SimpleCov/Coverage track covered ruby code, gathering coverage for common templating solutions like erb, slim and haml is not supported. In most cases, you'll want overall coverage results for your projects, including all types of tests, Cucumber features, etc. SimpleCov automatically takes care of this by caching and merging results when generating reports, so your report actually includes coverage across your test suites and thereby gives you a better picture of blank spots.
