Log indoor versus outdoor temperature and humidity from a Raspberry Pi with wired sensors.
Decide when to open windows for natural summer cooling based on live sensor comparisons.
Graph recent temperature readings on a separate PC by reading a shared spreadsheet file.
Use as a starting point for a simple two-sensor home monitoring setup.
| titojff/temp-in-out | 0xustaz/streamgate | a-bissell/unleash-lite | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Python | Python | Python |
| Setup difficulty | hard | hard | hard |
| Complexity | 3/5 | 4/5 | 4/5 |
| Audience | vibe coder | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires physical SHT45 sensor wiring to a headless Raspberry Pi 3 and a shared spreadsheet file path between the Pi and a Linux PC, no documented install steps.
Temp-IN-OUT is a small personal home automation project for tracking temperature and humidity both outside and inside a house. The author has one SHT45 sensor placed outside and another placed inside, both wired to a Raspberry Pi 3. The idea is simple: by comparing the outside and inside readings, the author can tell when it makes sense to open all the windows during summer to cool the house down naturally instead of relying only on judgment or guessing. The Raspberry Pi runs headless, meaning it operates without a monitor or keyboard attached, and is controlled remotely from the author's Linux PC. A Python script running on the Pi reads the sensors and writes each measurement as a new line into an Excel spreadsheet file, saved directly on the Pi. A second Python script, called GRAPHING.py, runs separately on the Linux PC rather than on the Pi itself. Every five minutes, this script reads the most recent line from that spreadsheet file over the network and uses it to build a graph, giving the author a visual way to watch how the indoor and outdoor temperatures compare over time. The project is very small in scope: two Python scripts and a shared spreadsheet file acting as the data store between them. There is no mention of a formal installation process, configuration file, or dependency list in the README, so setting it up would likely mean adapting the sensor wiring and file paths to match your own Raspberry Pi and PC setup. This is a hobby project built to solve one specific problem for one household rather than a general purpose tool meant for wide reuse.
A personal Raspberry Pi project that logs indoor and outdoor temperature and humidity to help decide when to open the windows in summer.
Mainly Python. The stack also includes Python, Raspberry Pi, SHT45 sensor.
The README does not state a license, so terms of use and redistribution are unclear.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.