Update Summary Refactored packet handling to replace a custom hash function with the built-in implementation. Updated the statistics template — renamed success rate to repeats and adjusted calculations. Added neighbours connection map with SNR labels. Added distance calculation and display to the neighbours table. Added noise floor measurement and improved dashboard visualisation. Added an automated upgrade script for the PyMC Repeater, including service management.
pyMC_repeater
Repeater Daemon in Python using the pymc_core Lib.
I started pyMC_core as a way to really get under the skin of MeshCore — to see how it ticked and why it behaved the way it did. After a few late nights of tinkering, testing, and head-scratching, I shared what I’d learned with the community. The response was honestly overwhelming — loads of encouragement, great feedback, and a few people asking if I could spin it into a lightweight repeater daemon that would run happily on low-power, Pi-class hardware.
That challenge shaped much of what followed:
- I went with a lightweight HTTP server (CherryPy) instead of a full-fat framework.
- I stuck with simple polling over WebSockets — it’s more reliable, has fewer dependencies, and is far less resource hungry.
- I kept the architecture focused on being clear, modular, and hackable rather than chasing performance numbers.
There’s still plenty of room for this project to grow and improve — but you’ve got to start somewhere! My hope is that pyMC_repeater serves as a solid, approachable foundation that others can learn from, build on, and maybe even have a bit of fun with along the way.
I’d love to see these repeaters out in the wild — actually running in real networks and production setups. My own testing so far has been in a very synthetic environment with little to no other users in my area, so feedback from real-world deployments would be incredibly valuable!
Overview
The repeater daemon runs continuously as a background process, forwarding LoRa packets using pymc_core's Dispatcher and packet routing.
Supported Hardware (Out of the Box)
The following hardware is currently supported out-of-the-box:
Waveshare LoRaWAN/GNSS HAT
Hardware: Waveshare SX1262 LoRa HAT
Platform: Raspberry Pi (or compatible single-board computer)
Frequency: 868MHz (EU) or 915MHz (US)
TX Power: Up to 22dBm
SPI Bus: SPI0
GPIO Pins: CS=21, Reset=18, Busy=20, IRQ=16
HackerGadgets uConsole
Hardware: uConsole RTL-SDR/LoRa/GPS/RTC/USB Hub
Platform: Clockwork uConsole (Raspberry Pi CM4/CM5)
Frequency: 433/915MHz (configurable)
TX Power: Up to 22dBm
SPI Bus: SPI1
GPIO Pins: CS=-1, Reset=25, Busy=24, IRQ=26
Additional Setup: Requires SPI1 overlay and GPS/RTC configuration (see uConsole setup guide)
Frequency Labs meshadv-mini
Hardware: FrequencyLabs meshadv-mini Hat
Platform: Raspberry Pi (or compatible single-board computer)
Frequency: 868MHz (EU) or 915MHz (US)
TX Power: Up to 22dBm
SPI Bus: SPI0
GPIO Pins: CS=8, Reset=24, Busy=20, IRQ=16
Frequency Labs meshadv
Hardware: FrequencyLabs meshadv-mini Hat
Platform: Raspberry Pi (or compatible single-board computer)
Frequency: 868MHz (EU) or 915MHz (US)
TX Power: Up to 22dBm
SPI Bus: SPI0
GPIO Pins: CS=21, Reset=18, Busy=20, IRQ=16, TXEN=13, RXEN=12
...
Screenshots
Dashboard
Real-time monitoring dashboard showing packet statistics, neighbor discovery, and system status
Statistics
statistics and performance metrics
Installation
Clone the Repository:
git clone https://github.com/rightup/pyMC_Repeater.git
cd pyMC_Repeater
Quick Install:
sudo bash deploy.sh
This script will:
- Create a dedicated
repeaterservice user with hardware access - Install files to
/opt/pymc_repeater - Create configuration directory at
/etc/pymc_repeater - Setup log directory at
/var/log/pymc_repeater - Launch interactive radio & hardware configuration wizard
- Install and enable systemd service
After Installation:
# View live logs
sudo journalctl -u pymc-repeater -f
# Access web dashboard
http://<repeater-ip>:8000
Development Install:
pip install -e .
Configuration
The configuration file is created and configured during installation at:
/etc/pymc_repeater/config.yaml
To reconfigure radio and hardware settings after installation, run:
sudo bash setup-radio-config.sh /etc/pymc_repeater
sudo systemctl restart pymc-repeater
Upgrading
To upgrade an existing installation to the latest version:
# Navigate to your pyMC_Repeater directory
cd pyMC_Repeater
# Run the upgrade script
sudo ./upgrade.sh
The upgrade script will:
- Pull the latest code from the main branch
- Update all application files
- Upgrade Python dependencies if needed
- Restart the service automatically
- Preserve your existing configuration
Uninstallation
sudo bash uninstall.sh
This script will:
- Stop and disable the systemd service
- Remove the installation directory
- Optionally remove configuration, logs, and user data
- Optionally remove the service user account
The script will prompt you for each optional removal step.
Roadmap / Planned Features
- Public Map Integration - Submit repeater location and details to public map for discovery
- Remote Administration over LoRa - Manage repeater configuration remotely via LoRa mesh
- Trace Request Handling - Respond to trace/diagnostic requests from mesh network
Contributing
I welcome contributions! To contribute to pyMC_repeater:
- Fork the repository and clone your fork
- Create a feature branch from the
devbranch:git checkout -b feature/your-feature-name dev - Make your changes and test with real hardware
- Commit with clear messages:
git commit -m "feat: description of changes" - Push to your fork and submit a Pull Request to the
devbranch- Include a clear description of the changes
- Reference any related issues
Development Setup
# Install in development mode with dev tools (black, pytest, isort, mypy, etc)
pip install -e ".[dev]"
# Setup pre-commit hooks for code quality
pip install pre-commit
pre-commit install
# Manually run pre-commit checks on all files
pre-commit run --all-files
Note: Hardware support (LoRa radio drivers) is included in the base installation automatically via pymc_core[hardware].
Pre-commit hooks will automatically:
- Format code with Black
- Sort imports with isort
- Lint with flake8
- Fix trailing whitespace and other file issues
Support
License
This project is licensed under the MIT License - see the LICENSE file for details.