Self-Hosted Seismic Monitoring: Raspberry Shake vs OpenEEW vs SeisComP

Why Self-Host Seismic Monitoring?

Earthquake monitoring was once the exclusive domain of government geological surveys with million-dollar equipment budgets. Today, affordable MEMS accelerometers, Raspberry Pi single-board computers, and open-source software have democratized seismology — anyone can operate a seismic station from their basement or garage. Citizen scientists worldwide contribute to global earthquake detection networks, and self-hosted seismic monitoring gives you real-time data ownership, customized alerting, and the ability to participate in meaningful scientific research.

Self-hosting a seismic monitoring station means you control your data pipeline end-to-end: from the sensor hardware to the visualization dashboard. You can set custom alert thresholds for your specific location, integrate earthquake alerts into your home automation system, and contribute your data to global networks like IRIS, Raspberry Shake’s StationView, or the OpenEEW network. Plus, you’re building a scientific instrument that can operate for years with minimal maintenance.

In this guide, we compare three distinct approaches to self-hosted seismic monitoring: Raspberry Shake (turnkey hardware + software solution), OpenEEW (earthquake early-warning network), and SeisComP (professional-grade seismic data processing).

Comparison at a Glance

Raspberry Shake: Turnkey Citizen Seismology

Raspberry Shake is the most accessible entry point for citizen seismology. It combines a custom Raspberry Pi HAT (Hardware Attached on Top) with a professional-grade geophone and a Python-based data processing suite called rsudp (Raspberry Shake User Display Protocol). The hardware comes pre-assembled — just connect power and Ethernet, and you have a functioning seismic station.

Key Features

• All-in-one hardware: Geophone, digitizer, and Raspberry Pi in one unit
• Real-time visualization: rsudp provides live waveform display, spectrograms, and event detection
• Global network: Your data is shared on StationView and optionally contributed to IRIS
• Multiple models: From the affordable RS1D (vertical) to the professional RS4D (3-component broadband)

Installation and Configuration

Raspberry Shake ships pre-configured, but you can customize the rsudp software:

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# Clone the rsudp repository
git clone https://github.com/raspishake/rsudp.git
cd rsudp

# Install dependencies
pip install -r requirements.txt

# Configure your station
cp rsudp_settings.json.example rsudp_settings.json
# Edit settings: station name, data forwarding, alert thresholds

# Run the data processing pipeline
python rsudp.py

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# Example rsudp custom alert configuration
import rsudp.helpers
alerts = {
    "magnitude_threshold": 3.0,
    "distance_threshold_km": 100,
    "alert_actions": [
        "print",           # Console output
        "screenshot",      # Save waveform image
        "mqtt_publish",    # Send to Home Assistant
        "email_alert"      # Email notification
    ]
}

rsudp publishes data to a local web dashboard showing live waveforms, recent events, and station health metrics. The built-in MQTT module enables Home Assistant integration for earthquake-triggered automations.

OpenEEW: Earthquake Early Warning Network

OpenEEW (Open Earthquake Early Warning) takes a network-centric approach. Originally developed by Grillo and supported by IBM’s Call for Code, OpenEEW provides both hardware schematics for building low-cost MEMS accelerometer sensors and a cloud/edge processing pipeline for detecting earthquakes in real time.

Key Features

• Low-cost sensor design: ESP32 + MEMS accelerometer — under $50 in parts
• Edge computing: Initial P-wave detection happens on-device
• Cloud aggregation: Multiple sensors triangulate earthquake location and magnitude
• Alert distribution: Push notifications and API for early warning systems

Building an OpenEEW Sensor

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# Flash the ESP32 firmware
git clone https://github.com/openeew/openeew-firmware.git
cd openeew-firmware
# Configure for your WiFi and MQTT broker
idf.py menuconfig
idf.py build && idf.py flash

# Run the detection service (on a local server)
docker run -d \
  --name openeew-detector \
  -p 8080:8080 \
  -e MQTT_BROKER=mqtt://192.168.1.100:1883 \
  openeew/detection-service

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# docker-compose.yml for OpenEEW local server
version: '3'
services:
  openeew-mqtt:
    image: eclipse-mosquitto:latest
    ports:
      - "1883:1883"
    volumes:
      - ./mosquitto.conf:/mosquitto/config/mosquitto.conf

  openeew-detector:
    image: openeew/detection-service:latest
    environment:
      - MQTT_BROKER=mqtt://openeew-mqtt:1883
      - ALERT_WEBHOOK=https://hooks.your-server.com/earthquake
    depends_on:
      - openeew-mqtt

  openeew-dashboard:
    image: openeew/dashboard:latest
    ports:
      - "3000:3000"
    environment:
      - API_URL=http://openeew-detector:8080

SeisComP: Professional Seismic Processing

SeisComP is the heavyweight in this comparison — a professional-grade seismic data processing suite used by geological surveys worldwide (including the GEOFON network in Germany). Unlike Raspberry Shake and OpenEEW which target citizen scientists, SeisComP is designed for institutional seismic networks processing data from dozens or hundreds of stations simultaneously.

Key Features

• Full processing pipeline: Data acquisition, quality control, event detection, location, and magnitude calculation
• SeedLink protocol: Industry-standard real-time data streaming between stations
• FDSN web services: Standard REST API for earthquake catalogs, waveforms, and station metadata
• scolv GUI: Interactive event review and manual phase picking
• Modular architecture: Only run the modules you need

Installation

SeisComP is a native C++ application with complex dependencies (Qt, Boost, libmseed):

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# From the SeisComP documentation
# Add SeisComP repository (Debian/Ubuntu)
wget -qO- https://www.seiscomp.de/repository/seiscomp.key | sudo apt-key add -
echo "deb https://www.seiscomp.de/repository/debian/ stable main" | \
  sudo tee /etc/apt/sources.list.d/seiscomp.list

sudo apt update
sudo apt install seiscomp

# Initialize the database and configuration
seiscomp setup
seiscomp enable scautopick scautoloc scmag scevent
seiscomp start

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# SeedLink client example — streaming real-time seismic data
from obspy.clients.seedlink import Client
from obspy import UTCDateTime

client = Client("geofon.gfz-potsdam.de", port=18000)
# Subscribe to a specific station
client.select_stream("GE", "WLF", "BHZ")
# Stream 60 seconds of data
for trace in client.collect_stream(duration=60):
    print(f"Stream: {trace.id}, Samples: {trace.stats.npts}")
    print(f"Max amplitude: {trace.data.max()}")

Why Self-Host Your Seismic Monitoring?

The proliferation of low-cost MEMS accelerometers — the same technology that powers smartphone orientation detection — has fundamentally changed seismology. A modern MEMS sensor can detect magnitude 3+ earthquakes from 100 km away with fidelity that rivals the short-period seismometers of a generation ago. When you combine this hardware with open-source software, the barrier to entry drops from “requires a government grant” to “costs less than a smartphone.”

Self-hosting gives you control over the entire detection pipeline. When a magnitude 5 earthquake strikes 50 km from your home, you don’t want to wait for a USGS alert that may take 30-60 seconds to propagate through their systems — you want your own sensor to trigger your home automation within 3-5 seconds of the P-wave arrival. This is the difference between “an earthquake is happening” and “take cover now.” With MQTT-based alerting, your seismic station can flash lights, unlock doors, shut off gas valves, and send push notifications before the destructive S-waves even arrive.

For those building a comprehensive environmental sensor network, see our air quality monitoring guide for AirRohr and Luftdaten integration. Our IoT platform comparison covers data ingestion platforms that can aggregate seismic data alongside other sensor streams. And for those interested in related geophysical monitoring, our weather station software guide covers WeeWX and MeteorBridge.

FAQ

What’s the minimum hardware I need for seismic monitoring?

A Raspberry Shake RS1D ($150-$300) is the simplest option — plug-and-play with no assembly. For DIY, an ESP32 with a ADXL355 MEMS accelerometer ($30-$50) can detect local earthquakes above magnitude 3. For professional-grade data, you need a geophone or broadband seismometer ($500-$5,000+).

Can I detect earthquakes anywhere in the world with a local sensor?

A single sensor can detect large earthquakes (magnitude 6+) from thousands of kilometers away, but for local monitoring (within 100 km), sensitivity depends on your sensor quality and geological noise floor. Urban environments with traffic and construction noise reduce detection range significantly.

How is SeisComP different from Raspberry Shake?

Raspberry Shake is a hardware + software package designed for a single citizen-science station. SeisComP is a server-side processing suite designed for institutional networks with dozens of stations. You could actually feed Raspberry Shake data INTO SeisComP — they’re complementary, not competing.

Does OpenEEW work without cloud connectivity?

Yes, the OpenEEW sensor performs edge-based P-wave detection locally. However, the full early-warning pipeline (triangulating earthquake location from multiple sensors) typically requires a central processing server. You can run this server locally without cloud dependency.

How accurate are MEMS accelerometers compared to professional seismometers?

Modern MEMS sensors (ADXL355, ICM-42688-P) achieve noise floors around 10-30 μg/√Hz, good enough for magnitude 3+ detection at local distances. Professional broadband seismometers achieve <1 μg/√Hz. For amateur seismology, MEMS sensors are entirely adequate for regional earthquake detection.

Can I contribute my seismic data to scientific research?

Absolutely. Raspberry Shake data is shared on StationView and can be forwarded to IRIS. OpenEEW contributes to global earthquake early-warning research. SeisComP stations can stream via SeedLink to any FDSN-compatible archive. Your data genuinely helps improve earthquake catalogs and detection algorithms.

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