Arduino, running the sketch you wrote
arduino-cli compiles it, an AVR8 core executes it instruction by instruction, and the LCD shows what the ATmega328P actually put on the bus. Uno, Nano, Mega and ATtiny85, no board on your desk.

Hardware is all about iteration. Velxio lets you wire a circuit, program the board and run it in seconds, real firmware on a real solver, right in the browser.
DFRobot · M5Stack links on this page are affiliate links: a purchase through them earns Velxio a small commission at no extra cost to you.
Nothing on this page is a scripted animation: the firmware is compiled and executed, and the circuit around it is solved.
arduino-cli compiles it, an AVR8 core executes it instruction by instruction, and the LCD shows what the ATmega328P actually put on the bus. Uno, Nano, Mega and ATtiny85, no board on your desk.

arduino-cli or ESP-IDF compiles the sketch, then AVR8, RP2040, RISC-V, Xtensa or ARM executes it instruction by instruction. What the OLED draws and what the serial monitor prints is what the chip actually did.

ngspice compiled to WebAssembly runs a full nodal analysis about 60 times a second. GPIO pins drive real nets, ADC inputs read solved node voltages, and probes report RMS, DC and current wherever you drop them.

Adders, comparators, decoders, flip-flops and a 1-bit ALU slice: no microcontroller anywhere, just gates, switches and LEDs solved as a real net. The classroom half of electronics, without the breadboard.

The M5Stack Cardputer with its keyboard, Seeed's round display keeping time, Pimoroni's Badger 2350 driving e-paper, and DFRobot's UNIHIKER M10 in the catalogue alongside them. Their makers sent the hardware so the emulation could be checked against the real thing.




35 boards across 6 CPU architectures — AVR8, ARM Cortex-M, ARM Cortex-A, RISC-V, Xtensa, and Linux. Including partner boards from Pimoroni, M5Stack, Seeed Studio and DFRobot. All running locally, no cloud needed.
One institution contract gives every student in the class a full Pro account. No per-seat checkout, no card details in a classroom.
Private projects, BOM and schematic exports, GitHub Sync and the offline desktop app, for everyone enrolled.
Billed once to your institution, per semester or per year. Volume pricing on request for large cohorts.
Arduino, ESP32, RP2040, STM32, ATtiny and Raspberry Pi, with SPICE analog solved alongside the firmware. Not a sandboxed mock.
The simulator stays free forever. Paid plans unlock the Linux and STM32 boards, WiFi and the offline desktop app. Maker and Pro add the AI agent; No AI leaves it out.
Discover the simulator + light AI help.
The full workbench, zero AI. You write every line.
For makers shipping real circuits with AI help.
Private projects, GitHub Sync and BOM exports.
Questions, bugs and ideas: the Discord and the issue tracker are open, and so is every line of the simulator.
Official
An interactive Raspberry Pi 4 circuit simulation you can run free in your browser on Velxio, by lusyyy-am.
import os
import csv
import time
import serial
import statistics
import threading
import traceback
from datetime import datetime
from collections import deque
import RPi.GPIO as GPIO
from RPLCD.i2c import CharLCD
# ==========================================
# SENSIKITTY
# RASPBERRY PI 4
#
# Sensors run in a background thread.
# Dashboard runs in the main console.
# ==========================================
# ==========================================
# CAT DATABASE
# ==========================================
CATS = {
0: "Max",
1: "Ruby",
2: "Jasmine",
3: "Belle",
4: "Mango"
}
# ==========================================
# HARDWARE CONFIGURATION
# ==========================================
RFID_PORT = "/dev/ttyAMA0"
RFID_BAUD = 9600
RFID_REARM_DELAY = 0.8
HX_DOUT = 5
HX_SCK = 6
# Existing Velxio calibration
CLOCK_DELAY = 0.001
COUNTS_PER_KG = 420000.0
WEIGHT_INTERVAL = 0.5
MIN_CAT_WEIGHT = 0.3
MAX_CAT_WEIGHT = 15.0
LCD_ADDRESS = 0x27
RESET_SECONDS = 5.0
# ==========================================
# DASHBOARD CONFIGURATION
# ==========================================
# Refresh when a cat enters or exits.
AUTO_REFRESH = True
# Refresh active view every N seconds.
# 0 disables periodic refresh.
REFRESH_SECONDS = 0
# ==========================================
# DATABASE FILES
# ==========================================
DATA_DIR = "sensikitty_data"
CATS_FILE = DATA_DIR + "/cats.csv"
VISITS_FILE = DATA_DIR + "/visits.csv"
SUMMARY_FILE = DATA_DIR + "/daily_summary.csv"
FIELDS = [
"Visit_ID",
"Cat_ID",
"RFID",
"Name",
"Entry_Time",
"Exit_Time",
"Duration_Seconds",
"Weight_kg",
"Status",
"Media_Status",
"Video_Reference",
"Audio_Reference",
"AI_Alert"
]
# ==========================================
# SYSTEM STATE
# ==========================================
current_cat = None
current_visit_id = None
tare_offset = None
weight_samples = deque(maxlen=5)
last_weight_time = 0.0
last_rfid_time = time.monotonic()
scan_armed = True
reset_until = None
lcd = None
rfid = None
active_view = "dashboard"
running = threading.Event()
running.set()
data_lock = threading.RLock()
console_lock = threading.RLock()
sensor_error = None
last_refresh = 0.0
# ==========================================
# DATABASE FUNCTIONS
# ==========================================
def load_visits():
with data_lock:
if not os.path.exists(VISITS_FILE):
return []
with open(
VISITS_FILE,
"r",
newline="",
encoding="utf-8"
) as file:
return list(csv.DictReader(file))
def write_csv(filename, fields, rows):
temporary = filename + ".tmp"
with data_lock:
with open(
temporary,
"w",
newlin