Reason for nomination: A from-scratch ACID database I wrote completely in Swift! I've been using it on my server backend to manage users, sync data, and app data, and it's been a great learning experience for Swift concurrency and data structure spelunking.
Reason for nomination: Adds a huge number of conveniences that are useful when creating for debugging views for content oriented around 3D - positions, translations, SIMD structures, angles, etc.
I would like to nominate GitHub - davbeck/swift-glob: A native Swift implementation of glob match patterns. that I discovered via @mattie. I recently made a cli tool to automate some enterprise stuff and a part is in JS. The glob function I saw other devs use I could not find in swift. I hope this project evolves so it becomes just as powerful as the glob in JS and hopefully faster.
It's time for nominations again, and we’re keeping the rule change from last month so you can nominate any non-commercial open-source package, including your own or those you help maintain. You still get extra karma for nominating packages written by others, though, so please consider doing that!
These packages don’t all have to be battle-tested in thousands of apps, they can be something you find interesting or novel, or something brand new.
Here's a template for nomination:
- **Package:** [Awesome Package](https://swiftpackageindex.com/owner/repo)
- **Reason for nomination:** This package is amazing and I use it all the time.
Thanks, and I look forward to seeing what you all came across this month.
Please post any nominations as a reply to this thread. You don’t have to use the template below, but please do include a reason you are nominating and a URL to the package at a minimum.
> - **Package:** [Awesome Package](https://swiftpackageindex.com/owner/repo)
> - **Reason for nomination:** This package is amazing and I use it all the time.
Neuron is a personal project of mine where I set off to learn ML / AI from scratch in Swift in 2020 and provide an ML learning / research platform for Swift developers. It has since grown significantly over time, especially as AI has gotten more popular lately. I have been featured in a podcast to discuss Swift first AI development. I was also asked to be an instructor on the project for tryswiftworld where I taught a class on using Neuron.
I continue to update the project as I learn and delve deeper into ML / AI field. Neuron has companion projects as well that help with the learning process like a package for datasets and one for remote logging.