keploy VS insomnia

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.

I'm new to SEO, I run an OSS project and Semrush shows my project's main repo link as TOXIC backlink!! I'm not sure if I should add this to the whitelist of my domain.

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.

Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected.

We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia.

For a very long time, the go-to tool was curl. Great, always available command line tool. Unfortunately, there is one small issue. It’s hard to keep requests and collect them in collections, it’s great for one-time shots or debugging, but for constant working with API could be painful. To solve it, I started working with tools like Postman/Insomnia. Then eh... strange licensing model, or changes which occurred from Kong side click, definitely push me again for some lookup. After checking different very popular tools and those not such well known I decided to use… Ansible. Sounds strange right? Let me explain this decision. For example, look at this code.

At first, I used Postman for testing APIs because it had a lot of features. But I switched to Insomnia because it was easier to use and kept everything organized. The big problem with Insomnia was that it deleted all my saved work when it made me create an account to keep using it.

Often used for cases where a project exposes a REST or other type of API service. Open API is a popular method of documenting such API services. It can also be used along side tools such as Swagger Codegen to produce boilerplate code for API interaction / testing purposes. There may also be support files for popular API testing tools such as Postman or Insomnia. This makes it easier at a glance to see what data is coming back from a call so the user knows how to handle parsing the data.

Well, there is this website that I have been trying to scrape for a few days now. I had tried everything from scrapy splash on docker to almost giving up because I read somewhere that it was JavaScript rendered. Since the source code from the inspect part of the developer tools was different from the source code from the view-source:https//... on the same developer tools.How could this be possible? Then I kept searching on internet and found this concept; where you can mimic web-browsers requests from a server using an API program,and it worked magically. Some of the API programs are postman and insomnia. I prefer using insomnia for this particular case , feel free to use any other API program of your choice.