Best Free Unit Testing Software

Qodo (formerly Codium) analyzes your code and generates meaningful tests to catch bugs before you ship. Qodo maps your code’s behaviors, surfaces edge cases, and tags anything that looks suspicious. Then, it generates clear and meaningful unit tests that match how your code behaves. Get full visibility of how your code behaves, and how the changes you make affect the rest of your code. Code coverage is broken. Meaningful tests actually check functionality, giving you the confidence needed to commit. Spend fewer hours writing questionable test cases, and more time developing useful features for your users. By analyzing your code, docstring, and comments, Qodo suggests tests as you type. All you have to do is add them to your suite. Qodo is focused on code integrity: generating tests that help you understand how your code behaves; finding edge cases and suspicious behaviors; and making your code more robust.

AppHarbor is a fully hosted .NET Platform as a Service. AppHarbor can deploy and scale any standard .NET application to the cloud. AppHarbor is used by thousands of developers and businesses to host anything from personal blogs to high traffic web applications. AppHarbor lets you instantly deploy and scale .NET applications using your favorite versioning tool. Installing add-ons is just as easy. You push .NET and Windows code to AppHarbor using Git, Mercurial, Subversion or Team Foundation Server with the complimentary Git service or through integrations offered in collaboration with Bitbucket, CodePlex and GitHub. When AppHarbor receives your code it will be built by a build server. If the code compiles all unit tests contained in the compiled assemblies will be run. The result and progress of the build and unit test status can be monitored on the application dashboard. AppHarbor will call any service hooks that you add to notify you of the build result.

Bright Security is a developer-centric Dynamic Application Security Testing (DAST) solution that helps organizations ship secure applications and APIs quickly and cost-effectively. Its approach enables quick and iterative scans to identify critical security vulnerabilities early in the SDLC without compromising on quality or delivery speed. Bright empowers AppSec teams to provide governance for securing APIs and web apps while allowing developers to take ownership of security testing and remediation work. Unlike legacy DAST solutions built for AppSec professionals, which are complex to deploy and find vulnerabilities late in the development process, Bright's DAST solution is optimized for the DevOps world. It can be deployed as early as the Unit Testing phase and run throughout the SDLC, learning and optimizing from every scan. By enabling organizations to detect and remediate vulnerabilities early in the SDLC, Bright reduces risk at a lower cost and effort.

The powerful, easy-to-use JavaScript testing framework. Easy, zero-configuration setup for any Node.js project and minimal configuration for browser-based projects. Tests can be run anywhere; Node, your browser, even inside a web worker. Test your code where it runs. Flexible APIs for custom assertions, runners, and reporters mean you can extend QUnit to fit your needs. Getting started with QUnit for Node.js projects is quick and easy. First, install the QUnit package using npm. You can now run the test suite through the QUnit CLI. It is recommended that you run the QUnit command via an npm script, which will find the QUnit command automatically from your local dependencies. Check out the API documentation to learn more about the QUnit APIs for organizing tests and making assertions.QUnit follows the Node.js Long-term Support (LTS) schedule and provides support for current, active LTS, and maintenance LTS releases.

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.

Jasmine attempts as best as possible to follow semantic versioning. This means we reserve major versions (1.0, 2.0, etc.) for breaking changes or other significant work. Most Jasmine releases end up being minor releases (2.3, 2.4, etc.). Major releases are very infrequent. Jasmine generally avoids dropping support for browser or Node versions except in major releases. The exceptions to this are Node versions that are past end of life, browsers that we can no longer install locally and/or test against in our CI builds, browsers that no longer receive security updates, and browsers that only run on operating systems that no longer receive security updates. We’ll make reasonable efforts to keep Jasmine working in those environments but won’t necessarily do a major release if they break.

The toolkit is provided as a set of artifacts deployed to the Maven Central repository. It requires Java 7 or newer for test execution; tests must use JUnit or TestNG. For instructions on how to add the library to a Java project, see Running tests with JMockit. In this tutorial we examine the APIs available in the library, with the help of example tests (using Java 8). The central API - a single annotation - provides support for the automatic instantiation and initialization of the objects to be tested. Then we have the mocking API (also known as the "Expectations" API), intended for tests which use mocked dependencies. Finally, there is a small faking API (aka the "Mockups" API), which can be used for the creation and application of fake implementations that avoid the full cost of external components.

Most things that you can do manually in the browser can be done using Puppeteer! Puppeteer-core is intended to be a lightweight version of Puppeteer for launching an existing browser installation or for connecting to a remote one. Be sure that the version of puppeteer-core you install is compatible with the browser you intend to connect to. Puppeteer will be familiar to people using other browser testing frameworks. You create an instance of Browser, open pages, and then manipulate them with Puppeteer's API. By default, Puppeteer downloads and uses a specific version of Chromium so its API is guaranteed to work out of the box. To use Puppeteer with a different version of Chrome or Chromium, pass in the executable's path when creating a Browser instance.

Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests. Playwright assertions are created specifically for the dynamic web. Checks are automatically retried until the necessary conditions are met. Configure test retry strategy, capture execution trace, videos, screenshots to eliminate flakes. Browsers run web content belonging to different origins in different processes. Playwright is aligned with the modern browsers architecture and runs tests out-of-process. This makes Playwright free of the typical in-process test runner limitations.

Nightwatch.js is an integrated, easy to use End-to-End testing solution for web applications and websites, written in Node.js. It uses the W3C WebDriver API to drive browsers and perform commands and assertions on DOM elements. Simple but powerful syntax which enables you to write tests very quickly, using Javascript (Node.js) and CSS or Xpath selectors. Typescript is supported as well. Built-in command-line test runner which runs the tests either sequentially or in parallel, with retries and implicit waits. Also supports grouping of test suites and tags. Manages automatically Selenium or WebDriver services (ChromeDriver, GeckoDriver, Edge, Safari) in a separate child process. Fluent and easy to work with Page Object Model support to better organise elements and sections, with support for both CSS or Xpath selectors.

Mockito is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. Mockito doesn’t give you hangover because the tests are very readable and they produce clean verification errors. Read more about features & motivations. Top 10 Java library across all libraries, not only the testing tools. In late 2013 there was an analysis made of 30.000 GitHub projects. Although Mockito reached number 9 in the main report, mockito-core and mockito-all are the same tool and therefore the factual position of Mockito is number 4, surpassing famous tools like Guava or Spring. Treat this study as an indicator of a big impact that Mockito makes every day on unit tests written in Java.

Mocking is a technique to make testing code readable and maintainable. In three consequent articles, I would like to show the basics, features, and quirks of the MockK library. It is a new open-source library (github repository) focused on making mocking in Kotlin great. Injection first tries to match properties by name, then by class or superclass. Check the lookupType parameter for customization. Properties are injected even if private is applied. Constructors for injection are selected from the biggest number of arguments to lowest.

GitAuto is an AI-powered coding agent that integrates with GitHub (and optional Jira) to read backlog tickets or issues, analyze your repository’s file tree and code, then autonomously generate and review pull requests, typically within three minutes per ticket. It can handle bug fixes, feature requests, and test coverage improvements. You trigger it via issue labels or dashboard selections, it writes code or unit tests, opens a PR, runs GitHub Actions, and automatically fixes failing tests until they pass. GitAuto supports ten programming languages (e.g., Python, Go, Rust, Java), is free for basic usage, and offers paid tiers for higher PR volumes and enterprise features. It follows a zero data‑retention policy; your code is processed via OpenAI but not stored. Designed to accelerate delivery by enabling teams to clear technical debt and backlogs without extensive engineering resources, GitAuto acts like an AI backend engineer that drafts, tests, and iterates.