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.