Best Software Testing Tools

Skim through traffic with highlighting by content type, status & source, or use powerful filtering tools to precisely match the messages that matter to you. Examine the URL, status, headers & body of each request or response, with inline explanations & docs from MDN. Dig into message bodies with highlighting & auto formatting for JSON, HTML, JS, hex and others, all using the power of Monaco, the editor from Visual Studio Code. Precisely match requests, jump to them when they appear, and edit anything: the target URL, method, headers or body. Manually respond directly to requests as they arrive, or pass them upstream, and pause & edit the real response on the way back. Step through HTTP traffic request by request, or manually mock endpoints and errors. Create rules to match requests and respond with your own content, to quickly prototype against new endpoints or services.

In order to start catch crashes which can appear in you Android or iOS applications, you need to integrate EasyQA Software Development Kit with the code of your apps. To download SDK and find full instructions on connecting it to a project, you can open the Integrations page within your project in EasyQA Test Management Tool. When you connect the SDK to your project, use the generated token and initialize it in the application class of your project. After that you can create your app’s build and upload it in Test Objects within your project in EasyQA and your application starts to send crashes to the service. After you have added our EasyQA SDK into your project and uploaded it to Test Objects within your project in EasyQA, you can track your app’s crashes on our website. You just need to download the app to any Android or iOS device and start testing. When there is a crash, reboot the app and press Upload button.

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Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.

Current approaches to software testing are outdated, inefficient, and costly, leading to reliability problems and wasted engineering effort. Antithesis is a completely new approach to testing and debugging. Your team will spend less time testing and more time building your software. Our platform continuously searches your software for problems, within a simulated environment where every problem can be perfectly reproduced, enabling efficient debugging of the most complex issues. Antithesis is a cloud platform that continuously tests the reliability of software systems. As your developers write code, they push their software (as container images) to Antithesis. We run your software under a variety of conditions and report any unintended behavior. We test your system against a multitude of predefined properties and also offer an SDK for defining additional test properties specific to your system.