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alchemy
An experimental GUI framework for Rust, backed by per-platform native widgets. React, AppKit/UIKit inspired. EXPERIMENTAL, runs on Cocoa right now. ;P
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Working on the new MeiliSearch engine, reworked from scratch! There already is excellent external contributions 🎉
Writing common_comments in rust (again). I initially wrote it in rust, wasn’t sure how to proceed with getting phrase counts instead of word counts so wrote it in Python instead. Except.. the python executes instantly, the rust version took 4 minutes to run. I’ll be finding out what I was doing wrong, so I can correct it, and hopefully execute faster than the python equivalent.
Last week I added an iOS App example to cacao, my framework for macOS/iOS apps. It's definitely less feature rich than the macOS examples, but it showcases building and running an entirely Rust-based iOS app in the simulator - and handles the various UIScene delegate pieces.
Oh cool! Glad to hear it - I experimented with VDOM stuff long ago back in alchemy and considered returning to it at some point, but if someone else does it... well, it'd be hella cool.
A program for using a laptop/tablet as a second display for a linux computer (like Apple's Sidecar). The display laptop can be any OS, the control laptop that the display is attached to must be linux.
Polishing as type type casting for my hobby rust-like language. It works just fine, but have to think semantics better for edge cases
Working on https://github.com/giganotes/giganotes-core . Implementing notes' local history
I'm prototyping an alternative protobuf code generator, with the aim to support more configuration and options. Prost does not have any facilities for implementing extensions, so it's a fork with edits in every single component.
The control computer needs DisplayLink's kernel module evdi. They currently support X11 and Wayland on Gnome (mutter). Other Wayland compositors might work, but are unsupported.
I just finished all my to-dos on my project senile. Available via crates.io, Arch AUR and Dockerhub. It recursively scans your files and collects + interprets your structured ToDo statements. It then outputs it as JSON to STDOUT. You can even specify multiple allowed formats for the ToDo statements. https://github.com/replicadse/senile Feedback appreciated. I am already using it in my company/team and it has become quite useful already.