com.spotify.Client VS awesome

There is nothing "unsafe" about flatpak. In fact for every package on flathub you can see exactly what the "unofficial" packagers do in the corresponding github repository. For example here is the repository for Spotify, if you look at the json manifest file you can see they are repackaging the "official" Snap with the necessary libraries and scripts to support it running as a flatpak. Everything there is open source and able to be examined.

If you click on the "Manifest" link for the package on flathub, it will take you to where the code that packages the app resides. There you can review exactly what the packager does in the json manifest. Here's the one for the Spotify client, for example, which shows where it pulls in dependencies and where it downloads the proprietary code from (in this case they base it on the snap) and what commands it executes while packaging the flatpak.

Try installing it via Flatpak

Flatpaks builds are made to be reproducible. Everything is done openly and you can check how the apps like for example Spotify where made.

Why not just use the flatpak?

Judging by the manifest, the Spotify Flatpak is built from the Spotify Snap.

Inspired by awesome list and donnemartin/awesome-aws.

This repository lists a lot of useful tools and resources for web developers. It's a great way to find new technologies and stay updated. I find the section on frontend development particularly useful. It has 342k stars 🌟. Find more here.

Repositories that are awesome lists or collection of resources

This has existed for 10 years:

https://github.com/sindresorhus/awesome

I managed to collect a diverse set of resources, and submit a pull request that passed all the checks in first try. But sadly, due to small community size, lack of resources, exams and abandonment of J2ME by Oracle, I was not able to completely fulfill my goal.

1. Awesome

In the days before "google it" was a synonym for "find it", we had different curated link sites, and even pyhsical magazines with hand-curated lists of links that people interested in a certain topic might find interesting. This still exists today in some forms, for example the "awesome lists" that you see for some programming topics, for example https://github.com/sindresorhus/awesome .

Just like there was a time when 90%-99% of all email traffic was viagra spam, I imagine in the future most of the internet by volume will be AI-generated trash, and those in the know will still circulate lists of where the other 1% can be found.

An even brighter scenario is that someone, maybe a kid tinkering in their garage, figures out how to make a search engine that finds the good stuff, doesn't immediately die to AI bot farms' SEO efforts, and is financially viable.

2. Awesome Lists

Software Engineering Blogs