Velxio 2.0 – Emulate Arduino, ESP32, and Raspberry Pi 3 in the Browser

https://github.com/davidmonterocrespo24/velxio

GitHub - davidmonterocrespo24/velxio: Emulate Arduino, ESP32 & Raspberry Pi. in your browser. Write code, compile, and run on 19 real boards — Arduino Uno, ESP32, ESP32-C3, Raspberry Pi Pico, Raspberry Pi 3, and more. No hardware, no cloud, no limits.. Discord: https://discord.gg/rCScB9cG

Emulate Arduino, ESP32 & Raspberry Pi. in your browser. Write code, compile, and run on 19 real boards — Arduino Uno, ESP32, ESP32-C3, Raspberry Pi Pico, Raspberry Pi 3, and more. No hardware, ...

GitHub

Velxio 2.0 is live.

A free, open-source emulator for 19 embedded boards: Arduino, ESP32, Raspberry Pi, RISC-V , running real compiled code in your browser.

The best part: it's fully local.

No cloud dependency. No student accounts. No data leaving your network. Self-hostable with a single Docker container.

Universities and bootcamps can deploy it on their own servers and give every student access to a complete embedded development environment, for free.

I've been working on this for over a year, and just shipped v2.0 with ESP32 emulation (via QEMU), a custom RISC-V core, and Raspberry Pi 3 support that runs real Python

Is it easy to feed an elf or bin and run that (esp32c3)? I see compilation available, but I'm playing with asm and have my toolchain figured out already and would just like to emulate the firmware.
Another +1 for this one as this is what turns this tool from a toy environment with basic sketches into something that's actually useful for larger projects with a full toolchain, libraries, and so forth.
just curious - if it runs from a docker container, what is the advantage of running the browser as opposed to just ssh'ing in ?

The main advantage is accessibility and ease of use: with the browser, no setup is required on the user’s side, no toolchains need to be installed, and there’s no need to be familiar with SSH or terminal workflows

It also provides a more visual and interactive environment (editor, peripherals, simulation controls), which is especially useful for teaching and for beginners.

The Docker image is there so you can easily install it on your own machine if you want to run it locally or work on development