V1.0 Stable Community Release

Self-Hosted MQTT Dashboard for Real-Time IoT Data

Subscribe to any MQTT topic and instantly debug, log, and visualize your IoT data with zero setup.

Run → Add Topic → Publish → See Data in seconds

Run in 30 Seconds

Shared demo instance. Data may reset periodically.

Self Hosted
Any MQTT Broker
Docker Ready (ARM + x86)
Sense-Hive
Connected

home/livingroom/temp

Updating...

value: 24.5 °C

sensor/humidity

Updating...

value: 45 %

test/topic

Updating...

value: "hello world"
Active LWT Monitoring:
0 ONLINE
0 DISCONNECTED
Total Nodes: 0

What is SenseHive?

SenseHive is a lightweight, self-hosted MQTT data logger and real-time dashboard. It connects to any MQTT broker and allows developers to debug, log, and visualize IoT data instantly.

Our Philosophy

About This Project

Why I Built This

I built this as a lightweight, no bloat tool with minimal overhead. Most IoT platforms today come with massive dependencies or complex setup flows. SenseHive is designed for the simplest way to log data and monitor connected devices without the enterprise heavy lifting.

One-Click Setup

Instead of wrestling with configuration files and database schemas, SenseHive offers a one-click Docker setup. It provides a dedicated logger for each topic, keeping your data sorted and accessible without overhead.

NOTE: This system tool isn't meant to replace enterprise stacks like ThingsBoard or Grafana, but to act as a lightweight version to collect, show data, and export logs for each topic dedicatedly with no overhead.

"The goal was simple: provide a view for IoT developers that takes 10 seconds to launch and zero minutes to configure."

RAM Footprint

< 35MB

Scale

Edge-Focused

Installation

Docker Deploy

Standard (x86)

docker run -d -p 5000:5000 devprincekumar/sense-hive:latest

Raspberry Pi (ARM)

docker run -d -p 5000:5000 devprincekumar/sense-hive:arm-pi-5
COMING SOON

HA Add-On

One-click deployment for HAOS users.

COMING SOON

PIP INSTALL

Native Python package for non-Docker environments.

Why Not Grafana or Cloud IoT Platforms?

Choose the right tool for your specific use case. From minimal edge logging to enterprise-grade analytics.

Aspect SenseHive ThingsBoard Grafana + Prometheus Node-RED + InfluxDB
Resource Usage ~35MB RAM (Extreme Low) 2GB+ RAM (High) 500MB+ RAM (Moderate) 300MB+ RAM (Low-Mod)
Setup Difficulty Zero-Config (10 Sec) High (Entity Mapping) Moderate (Exporters) Moderate (Flow Logic)
Level of Scale Edge / Developer Lab Global Enterprise Infrastructure Ops Prototyping / Automation
Implementation Dedicated Topic Logging Device Digital Twin Time-Series Metrics Logic-Based Flows
Persistence Topic-Wise Sorted Logs SQL/NoSQL Mix TSDB (Prometheus) InfluxDB (TSDB)