![]() Postman has a rich interface that many REST clients don't have, making it easy to use. There are native versions for both Mac and Windows. Postman is an easy-to-use REST client, and you can get started with it quickly by leveraging its Chrome plug-in. Postman is perfect in these scenarios. But it's also powerful enough that you can create more integrated solutions if you wish. Sometimes you just want a quick and dirty API test without all the overhead, or you need a tool to help with exploratory testing of your API. After all, if your developers don't contribute to your automation efforts, why force yourself to use their tech stack when it's not the best option for you? Some folks don't want to code in an integrated development environment using the same language as the developers. If your team is made up mainly of Java coders, I highly recommend REST-Assured for API testing. This is one more reason to use REST-Assured, since it brings the simplicity of using those languages into the Java domain. Testing and validating REST services is harder in Java than it is in dynamic languages such as Ruby and Groovy. It also has a bunch of baked-in functionalities, which means you don't have to code things from scratch.īonus: If you're like me and use the Serenity automation framework, you will like that REST-Assured integrates seamlessly with it, which means you can combine your UI and REST tests all in one framework that generates awesome reports. It provides a behavior-driven development (BDD)-like, domain-specific language that makes creating API testing in Java simple. ![]() The REST-Assured API was created so that you don't necessarily need to be an HTTP expert. It's designed with testing in mind, and it integrates with any existing Java-based automation framework. REST-Assured is a fluent Java library you can use to test HTTP-based REST services. In fact, it's the main tool I use for API testing. When using Java, REST-Assured is my first choice for API automation. The following are the top 11 API testing tools that can help you on your journey, with descriptions that should guide you in choosing the best fit for your needs. Knowing the basics of API testing will help you, both now and in an AI-driven API future. I've not seen this functionality available in any open-source API tools as yet, but don't let that prevent you from getting started. These tools act like sniffers, using machine learning to automatically find patterns and connect relationships among different services as users interact with the applications.Īs these approaches become more refined, you can imagine how the complexity of API test generation will be significantly reduced. To reduce the complexity of API testing, some vendors have created utilities that leverage AI to convert manual UI tests into API tests. Testers also may be technically unaware of how to even get started testing an API, so they simply focus on what they know-which is UI automation. Testers believe developers should be doing API testing, while developers believe the opposite. It still hasn't taken off, though, for several reasons.įor one, even though many organizations claim to be agile, many still have distinct roles defined for developers and testers. Thinking that API testing was about to take off, I wrote a book about it back in 2014. With microservices making up the backbone of most newer development efforts, API testing becomes even more critical than before. Focusing solely on UI automation-which is notoriously slow-can kill your test automation efforts.Īs you scramble to ensure that your applications are ready to ship, API testing should be part of your overall automation strategy.ĪPIs are the basis of modern software development, especially as more and more teams move away from monolithic applications and begin adopting a microservices approach to software development. Why perform API testing?Īs more companies make the shift left toward DevOps, continuous integration (CI), and continuous deployment (CD), test feedback needs to be quicker than ever. While most vendors are talking up the benefits of AI- and UI-based testing tools in general, AI- and machine learning-based applications that help with API testing have arrived.īefore you begin API testing, however, make sure you understand test automation basics and know how to avoid the most common test automation mistakes. How do you find the right open-source API testing tool for your needs? Since my last roundup of the best candidates, a few more tools have appeared that warrant consideration-and there's a new technique that's all the buzz in AI automation circles that you need to know about.
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