Best Unit Testing Software for Startups

Komodo Edit is a great editor if you’re looking for something powerful, yet simple. Komodo IDE provides more robust functionality such as debugging, unit testing, code refactoring and code profiling. Software vendors are increasingly the front line of security for their customers since one compromised patch or upgrade can make hundreds or even thousands of your customers susceptible to cyberattacks. Don’t be the next SolarWinds. Rather than implementing multiple point solutions and custom code, the ActiveState Platform can provide you with an out-of-the-box solution that helps ensure the security and integrity of the open source components you import, work with and run.

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.

Mocha runs in the browser. Every release of Mocha will have new builds of ./mocha.js and ./mocha.css for use in the browser. By adding an argument (usually named done) to it() to a test callback, Mocha will know that it should wait for this function to be called to complete the test. This callback accepts both an Error instance (or subclass thereof) or a falsy value; anything else is invalid usage and throws an error (usually causing a failed test). These reporters expect Mocha to know how many tests it plans to run before execution. This information is unavailable in parallel mode, as test files are loaded only when they are about to be run. In serial mode, tests results will “stream” as they occur. In parallel mode, reporter output is buffered; reporting will occur after each file is completed. In practice, the reporter output will appear in “chunks” (but will otherwise be identical). If a test file is particularly slow, there may be a significant pause while it’s running.

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.

Refraction is a code-generation tool for developers. It uses AI to generate code for you. You can use it to generate unit tests, documentation, refactor code, and more. Generate code using AI in 34 languages — Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass / SCSS, Scala, Shell, SQL, Swift, and TypeScript. Join thousands of developers around the world using Refraction to generate documentation, create unit tests, refactor code, and more using AI. Use the power of AI to automate the tedious parts of software development like testing, documentation, and refactoring, so you can focus on what matters. Refactor, optimize, fix and style-check your code. Generate unit tests for your code with various test frameworks. Explain the purpose of your code to make it easier to understand.

Confident AI offers an open-source package called DeepEval that enables engineers to evaluate or "unit test" their LLM applications' outputs. Confident AI is our commercial offering and it allows you to log and share evaluation results within your org, centralize your datasets used for evaluation, debug unsatisfactory evaluation results, and run evaluations in production throughout the lifetime of your LLM application. We offer 10+ default metrics for engineers to plug and use.

Full-featured IDE to code, debug, test, and deploy to any platform. Code faster. Work smarter. Create the future with the best-in-class IDE. Develop with the entire toolset from initial design to final deployment. Improved IntelliSense performance for C++ files. Local development with many common emulators. Simplified test access in Solution Explorer. Git management and repo creation in the IDE. Kubernetes support now included in Microsoft Azure workload. It doesn’t matter what type of app you are building, what language you program in, or what OS you’re on; with Live Share you can instantly share your project with your peers from the comfort of your own tools. No need to clone a repo or set up the environment, to get sharing.

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.