Analysis updated 2026-05-18
Monitor temperature, humidity, or other sensor readings from IoT devices in real time.
Log MQTT messages to a local database for later review.
Prototype an MQTT based system without setting up a full cloud IoT platform.
Run a lightweight dashboard on a small single-board computer at the edge.
| 855princekumar/sense-hive | echosoar/local-trans | kevintsai1202/teaching-site-skills | |
|---|---|---|---|
| Stars | 32 | 31 | 31 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | moderate | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | ops devops | developer | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Runs in Docker with one command, needs an MQTT broker to connect to.
SenseHive is a lightweight, self-hosted dashboard for collecting and visualizing data from IoT devices in real time. The problem it solves is simple: when you have sensors or devices sending data over MQTT (a common messaging protocol for IoT hardware), you need somewhere to see that data instantly without setting up a complicated system. SenseHive gives you a web dashboard where you can add topics to subscribe to, watch incoming data appear live, log it to a local database, and export it as a CSV file when needed. It works by connecting to an MQTT broker, which is the relay that receives messages from your devices. You subscribe to specific topics, which are named channels your devices publish data to. SenseHive stores each incoming message with a timestamp in a local SQLite database and displays the latest entries on the dashboard in real time using a technique called server-sent events. The whole system runs inside a Docker container, so you can have it running in under 30 seconds with a single command. You would use SenseHive when you have IoT sensors or devices sending readings over MQTT and you want a quick, no-fuss way to view and record that data locally. It is especially useful for prototyping, lab setups, field deployments, or edge devices where heavy cloud platforms are overkill. The project is optimized for low-resource environments and runs on both standard computers and ARM-based hardware like small single-board computers.
A self-hosted dashboard that logs and displays live MQTT sensor data from IoT devices.
Mainly HTML. The stack also includes Docker, SQLite, MQTT.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.