RGBMatrixEmulator VS digraph

https://github.com/ty-porter/RGBMatrixEmulator

One of the side projects I work on is a scoreboard that displays MLB scores. It's highly configurable -- you buy the size panel you want and a Raspberry Pi, install the software, and you can configure it to display games, standings, and news headlines for your favorite team or division.

The problem is that the hardware is purchased by the end user, so it can come in many different sizes. I think we officially support 6 or 7 sizes right now, and each panel can be a chunk of change if you get a nice one. If we wanted to test on every device that means I need to shell out 50 bucks x 7 sizes, plus Raspberry Pi and wiring adapter, so not insignificant for a hobby project. Instead, I wrote a drop-in replacement emulator that makes it super simple to emulate any size panel across a variety of display types.

The most advanced display adapter spins up a minimal webserver and serves emulated images over a websocket, meaning you can display your panel over the network on pretty much any device with a web browser.

I write about it quite a bit, if further interested: https://blog.ty-porter.dev/categories.html#emulation-ref

Hi guys, I'm the developer behind RGBMatrixEmulator, a Python library to emulate LED matrices that run on Raspberry Pi via rpi-rgb-led-matrix driver library by Henner Zeller.

I maintain RGBMatrixEmulator, a Raspberry Pi LED matrix emulator written in Python. It emulates the Python bindings provided by rpi-rgb-led-matrix, the most common LED matrix driver beginners choose when writing code for LED displays.

My own purpose in using it is to be able to get back to any link that I've read or have potentially wanted to read at a later point in time.

You scan see screenshots here: https://github.com/emwalker/digraph.

I have the same habit and wrote a web app to catalog the links I come across:

https://digraph.app/

This was kind of the idea behind a side project I started a few years ago:

https://digraph.app/

https://blog.digraph.app/2020-06-13-democratization-of-searc...

I definitely think crowd-sourcing and a well-conceived reputation management system that can influence results are good next areas for exploration.

> I think building search vertical that are hand-curated would be very interesting to see.

That was my inspiration behind a side project I made a few years ago — a decentralized, hand curated "search engine" [0]. Never got beyond the side project stage. But I see promise in this in the future. Eventually we'll figure out that human and moderated curation is better than the best machine learning.

[0] https://github.com/emwalker/digraph