LucidMQ VS dioxus

I'm using Cap'N Proto in a message broker application(LcuidMQ) I'm building for serialization. It has allowed me to created client applications rather quickly. There are some quirks can be difficult to wrap your head around, but once you understand it is really solid.

There are some difference between the language libraries and documentation can be lacking around those language specific solutions. I'm hoping to add blog articles and or contribute back to the example of these repositories to help future users in the future.

Check out my repo here for how I use it across Rust and Python, with Golang coming soon: https://github.com/lucidmq/lucidmq

I've been working on something that may fit your criteria. The API is kafka-like and it's whole goal is to provide an easy to use local-first stream datastore/data-engine.

It currently only has support for Rust and Python clients but working on expanding to node(JS) and C/C++ in the future.

https://github.com/lucidmq/lucidmq

If you're interested, check out the repo. Feedback is much appreciated to make this useful: https://github.com/bdkiran/lucidmq

We have a web components example here: https://github.com/DioxusLabs/dioxus/blob/fd21c971038840130f...

Everything should work like normal except: attributes are not typed, custom event listeners must be implemented with web-sys

I think something like https://dioxuslabs.com could deliver native, cross platform apps and win back mobile.

While we took an in-depth look at Dioxus in this tutorial, there is still so much to learn. Luckily, Dioxus provides detailed documentation with references and cookbooks to guide developers. Make sure you check it out, and feel free to comment below with any questions.

You can probably imagine the challenges of integrating such a system in a robust way that does a good job and improves on the status quo. We felt like the Tauri implementation worked well for Tauri apps. But there’s a problem: it was so tightly coupled to Tauri that the work couldn’t be enjoyed by other projects (not even the ones like Dioxus who were using Tauri’s underlying technology of Tao + Wry).

Floneum is a graph editor for local AI workflows. It uses llm to run large language models locally, egui, and dioxus for the frontend, and wasmtime for the plugin system. If you are interested in the project, consider joining the discord, or building a plugin for Floneum in rust using WASI