go-c2dmc VS keploy

I also built go-c2dmc, a package utilizing the go-colorful library to compute the nearest-matching DMC thread (thread for sewing, cross stitching, etc.) color to RGB and other color-space values (such as LAB and HSV). I haven’t touched it in quite some time, but I’m also planning on adding the ability to select from pre-defined color pallets to match to, as well as creating custom color pallets to match to.

I don’t have a contributor guide written for either of them, but feel free to help with the few issues in either this or this package I’ve written and released. They’re super simple things, but I’ve been rather busy at work and in life. So I haven’t had the time to address them. If you want to contribute, feel free to send me a DM with any questions!! Otherwise, just fork the repo(s) and just open a PR once you’re ready for the changes to be merged. I’ll review it asap!!

As far as projects to study go, I’ll start off with a shameless plug of two Go packages I’ve written, myself. This one is for converting between RGB (and other color space formats) to the nearest matching DMC thread color. This one is admittedly an extremely unidiomatic package (it’s completely opposite of how you should do things in Go) for supporting dynamic queries in Go without headaches or pre-defining “model” structs to hold each row of your query results. It’s something that can be useful, but it’s also built to showcase making the language work for a use case it wasn’t originally meant to support. If you wanna take a look at them, feel free. Also, I suggest looking at the testify repo. It’s an EXTREMELY popular testing library, and it’s also structured well.

I’m the creator of https://github.com/syke99/go-c2dmc a Go package for converting RGBA, LAB, and Hexcode color values to the nearest matching DMC thread color. It’s a bit niche of a package, and it’s been a few months since I’ve worked on it, but I’m always open to contributors and maintainers joining the project. If anyone would like to contribute and/or be a maintainer, DM me and we can discuss more

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.