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Meerkat - Data Acquisition for Raspberry Pi or MicroPython

Features

  • Support for Raspberry Pi and MicroPython

  • Pure Python API to I2C devices

  • Data output to JSON or CSV with JSON header

  • Standardized timestamps string formats

  • Data timestamping and GPS tagging of data

  • Metadata description of devices in JSON

  • Parser to convert CSV output to Pandas DataFrame

  • Object oriented class structure for REPL use

  • Base methods separated from device drivers for reusability and extension

Getting Started with Examples

The examples directory contains usage in Jupyter Notebooks and the tests folder contains scripts that will run on MicroPython or Linux.

Supported Sensors and Devices

Device Type Example Notebook Driver File I2C Address
1 Channel Relay Sparkfun Qwiic Single Relay relay.py 0x18
8 Channel Relay Peter Jakab 8 Channel Relay mcp23008.py 0x20
DC & Stepper Motor Grove Motor Driver v1.3 motor.py 0x0F
Ambient Temperature MCP9808 mcp9808.py 0x18
DC Current & Power INA219 ina219.py 0x40
Acceleration & Gyro MPU6050 mpu6050.py 0x68
Analog to Digital ADS1115 ads.py 0x48
Digital to Analog MCP4728 mcp4728.py 0x60
pH Atlas Sensors atlas.py 0x63
Conductivity Atlas Sensors atlas.py 0x64
Temperature, Humidity, Pressure, VOC Gas Bosch BME680 bme680.py 0x77
GPS PA1010D pa1010d.py 0x10
RTC DS3221 ds3231.py 0x68

Supported Python Platforms

Python 3, Jupyter and Pandas

  • Raspberry Pi Model 3
  • Raspberry Pi Model 4

MicroPython

  • FiPy (should work on all PyCom boards)
  • OpenMV Cam M7 (tested with OV7725)

Contributing

Contributions are welcome! Please read our Code of Conduct.

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Data acquisition for Raspberry Pi and Micropython

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