Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi

Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refrigeration machines.

Arduino Leonardo (ATmega32U4) PWM fan PID control

Bitcoin home mining resource for the plebs!

Cooling FAN HAT for OrangePi ZERO

Cooling system modelling for liquid rocket engines.

A Python package to calculate degree days (DD or in french DJU - degré jour unifié) from measured outdoor temperatures and to make it possible to quantify drift of energy consumption for heating (or cooling)

Set temp limits, enforce fan modes, door/window and daily shut-off, and air cycling makes your thermostat a genius with a voice using your Smart Speaker! Please ⭐ if you like the app :)

Raspberry Pi variable speed cooling fan controller

Emulate working fans for liquid cooling purposes

GUI for managing the Corsair Commander Pro and other fan controllers under Linux

Software for managing your third party devices on Windows. Keyboards, Mouses, Monitors, RGB, etc.

2018-2024: RPi400 and Re-purposed PC-PSU case Raspberry Pi 4 or 5 with python OLED status display, pcie-nvme, usb-ssd or hdd, switched 5v power, usb front and rear sockets, audio DAC, and a large, silent cooling fan.

System cooling controller with AVR MCU

It is designed to manage your Raspberry Pi's fan according to the CPU temperature changes.

AMC6821 based Fan Control Module with Qwiic connectors for integration into 3.3V MCU projects

HVAC Engine: Psychrometrics (Humid Air) analysis Java library. Humid air properties and thermodynamic processes, flows, heating, cooling, air mixing and more. Immutable, thread-safe, very accurate.

Module to simulate the specific heat signature of glasses with a specified thermal treatment following the Tool-Narayanaswamy-Moynihan (TNM) model

Simple temperature-dependent fan control using Arduino

This project uses Machine Learning to predict the energy efficiency of buildings based off of the building's features