BioDrop VS nbdev

I've started My Open Source Journey by Contributing to one of their Open Source project LinkFree (Currently Known as BioDrop) and the Community members Helped me in that process!

The link to the “Biodrop Account” project

A few months later, Biodrop, another open-source project, followed the same implementation that we used in our project to enable the embedding of their cards on other websites.

As this kind of large repository includes both frontend and backend, understanding the codebase and setting it up locally was quite hard, and for some, I did not had the necessary infrastructure or software in the system by the time. But gitpod.io was really helpful here in setting up the few projects that are integrated with it. Gitpod is a cloud-based development platform. It provided a seamless and ready-to-code environment, ease the complexities of local setup. In this process, I made contributions to the Biodrop and freecodecamp.

I have also contributed to other open source projects, including EddieHub, Forem, and my own.

I follow a lot of projects from different backgrounds, like Kubernetes, Docker, Preevy my Livecycle etc. But I want to give a special mention to BioDrop from the EddieHub Community. It's an awesome project that helps you connect to your audience with a single link. I'm also a maintainer and focus more on the DevOps side of things.

LinkFree connects to your audience with a single link. It allows you to showcase the content you create and your projects in one place, making it easier for people to find, follow and subscribe.

- https://github.com/EddieHubCommunity/LinkFree: Connecting with your audience with a single link, showcasing your content and projects.

View on GitHub

They seem to develop some stuff like a linktree alternative and a first issue finder.

One example I've seen is ML/DL folks using jupyter notebooks to develop DL libraries in jupyter notebooks, see https://github.com/fastai/nbdev

- https://github.com/fastai/nbdev: Increase developer productivity by 10x with a new exploratory programming workflow.

9. Nbdev: Boost developer productivity with an exploratory programming workflow - https://nbdev.fast.ai/

See if you like nbdev way of working with data through python and jupyter. nbdev is an optional part that will create python packages from jupyter notebooks. Also even the simple tutorials are opinionated and will guide you to unit test your code and write CICD pipelines.

You probably don’t have time for this for the purposes of your task, but I will also throw in the recommendation of nbdev especially if you’re a Python person. I haven’t had a project to use it on yet, but I’ve gone through the docs and the walkthrough and it seems like a great framework for starting potential projects with all the infrastructure needed for if/when they eventually get big and need all the packaging and stuff

nbdev: jupyter notebooks -> python package

Take a look at https://github.com/fastai/nbdev - haven't used it but supposedly the whole if fast.ai library was written that way. It sounds like a natural direction in your scenario - allowing your to keep working in a familiar environment and still producing production ready code (will, at least in paper 😅)