core VS keploy

As a recap, StaticBackend is a simple backend server API easy to self-host or importable in Go program without hosting a separate server.

StaticBackend is a simple backend server API you may use to build complex web applications. Fully open source and easy to self-host. It handles lot of backend building blocks.

I want to put StaticBackend on your radar. It's an open-source backend API I've worked on for more than 3.5+ years.

I'd like to put StaticBackend - GitHub in your radar. It's a simple backend server API that tries to handle most of the common functiionalities found in web applications. It's open-source and very easy to self-host.

Since people often ask where they could contribute to a Go project, I thought I'd jump in as I took some times to create some good first contribution issues for StaticBackend.

It's not always present in issues what has to be done in a project. On that note, I'd shamelessly suggest to look at StaticBackend which is a backend API to help expedite v1 (MVP) launch time.

I can tell you what I like and don't like about my open source backend API (self-hosted Firebase) https://github.com/staticbackendhq/core

Hey, if you're interested in web backend I started StaticBackend - GitHub repo in 2019. It's a REST backend server which aim to provide most of the common building blocks like user authentication, database, file storage, websocket, schedule tasks, server-side function.

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.