symflower VS keploy

So as we see, there are some caveats when working with Jazzer and custom data types, requiring manual work to supply the fuzzer with the correct test drivers, and being able to understand the generated test values. Symflower on the other hand generated a complete test suite fast and presents easy to understand test cases. However, we are still not done: if you find code that does not work for you or has results that could be done better, please let us know through our public issue tracker.

Full disclosure: I work for this company and we're always very happy to get feedback from our users. What did you like? What did you not like? Did something work well or not at all? You can also open issues on our GitHub. In case you're interested in the magic behind the curtain feel free to check out our website.

Creating unit tests will always involve writing some boiler-plate code. That's where editor extensions come in handy. The Symflower Visual Studio Code extension allows you to generate tests in the above unit test style, and even maintain them. Please drop us a line on our public issue tracker if you are missing a feature, found a bug or just want to tell us how you like the extension and the unit test style.

October is the month of Open Source and Keploy is taking part in this celebration. You can contribute to several Keploy projects by participating in this year’s Hacktoberfest. You can both contribute to the code part and the no-code part as well. Here are some contributions that you can make!

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy

Keploy is an open-source, end-to-end (E2E) testing toolkit for developers. It creates test cases and data mocks/stubs by recording API calls, database queries, etc., making releases faster and more reliable. Keploy works by being added as a middleware to your application. It captures and replays all network interaction served to the application from any source. This allows Keploy to generate test cases for all of your API endpoints, including those that are not explicitly tested by your unit tests. This can help you to identify and fix bugs that would otherwise go undetected. Keploy can create data mocks/stubs for your APIs, which can help you to isolate your tests and make them more reliable. It can automatically compare test cases generated from previously collected traffic against updated behaviour of your application, and bring any differences to your attention. This can help you to identify regressions in your production code early on.

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I have once contributed to one similar project https://github.com/keploy/keploy , This can help you generate e2e tests and mocks as well , with real api and infra calls .

Please feel free to checkout keploy too - https://github.com/keploy/keploy

This looks very similar to keploy but specific to node apps. Keploy is designed to be multi language.

I recently discovered Keploy (https://github.com/keploy/keploy) and was really impressed by its promise that it can generate API tests with code coverage by itself just by recording API calls and mocking everything that goes outside of the application - including calls to external API endpoints and the database. It seems like a super useful tool and potentially a game changer, especially now that GPT is starting another wave of automation.