AMSKY — Host software for AstroMeters sky quality & cloud sensors

Python host-side tools for the AstroMeters AMSKY all-sky sensors: a real-time GUI viewer, a headless logger, a terminal UI client, and a log plotting tool.

This release supports the AMSKY02 protocol.

The sensor combines two measurements that matter to astronomers and observatories:

• Sky Quality Meter (SQM) — sky brightness in mag/arcsec², for light pollution assessment
• Cloud detection — thermal IR sky temperature, for fast and reliable cloud coverage detection

The device streams CSV-style lines over USB CDC serial (115200 baud) or RS485. This package parses that stream, visualises it, serves it over HTTP, and archives it to HDF5 or CSV.

Using the older AMSKY01? Its protocol differs (no sensor/channel index, 16×12 thermal map) and is not handled by this release. Install amsky01 instead.

• Product page: https://astrometers.eu/products/AMSKY02/
• Documentation: https://astrometers.eu/docs/AMSKY/
• Source: https://github.com/roman-dvorak/AMSKY02

Installation

pip install amsky

This pulls in PySide6, pyqtgraph, numpy, pandas, matplotlib, h5py, pyserial and psutil.

If you only need headless logging on a small machine (e.g. a Raspberry Pi in an observatory), install into a virtual environment — the Qt dependency is large, but the viewer runs fine with --headless and no display attached.

Serial port permissions (Linux)

Your user needs access to the serial device. On most distributions:

sudo usermod -aG dialout $USER   # log out and back in

Command-line tools

Installing the package provides three commands.

amsky-viewer — real-time GUI viewer

The main application. Shows a live thermal map, sky quality, environmental data and per-channel light readings, with optional HDF5 logging and an HTTP JSON API.

# Live view from a connected sensor
amsky-viewer --port /dev/ttyACM0

# Live view with HDF5 logging and the HTTP API enabled
amsky-viewer --port /dev/ttyACM0 --log --api

# Replay a recorded HDF5 session at 4x speed
amsky-viewer --replay session.h5 --replay-speed 4

# Headless logging on a machine with no display
amsky-viewer --port /dev/ttyACM0 --headless --log --verbose

amsky-cli — terminal client

A curses-based terminal UI with automatic CSV logging and rotation. Also usable over TCP instead of a serial port, which is handy when the sensor is exposed by a serial-to-network bridge.

amsky-cli --list-ports                    # discover connected devices
amsky-cli --port /dev/ttyACM0 --log       # TUI with CSV logging
amsky-cli --tcp 4001 --host observatory   # read from a network bridge
amsky-cli --port /dev/ttyACM0 --no-tui    # plain line output, good for pipes

amsky-plot — plot recorded CSV logs

amsky-plot data.csv                            # write amsky_plots.png
amsky-plot --interactive data.csv              # interactive window
amsky-plot -i -r 30 -o myplot.png data.csv     # interactive, refresh every 30 s
amsky-plot file1.csv file2.csv                 # combine several logs

Hardware

The two TSL2591 channels are shown and logged separately as LIGHT0 and LIGHT1, and the two thermal sensors are displayed side by side as a single combined map.

Serial protocol

All data lines start with $. Lines starting with # are human-readable comments and should be ignored by parsers.

$HELLO,<model>,<serial>,<fw_version>,<git_hash>,<git_branch>
$light,<channel>,<lux>,<full_raw>,<ir_raw>,<gain>,<int_time>,<sqm>
$cloud,<sensor_id>,<tl>,<tr>,<bl>,<br>,<center>
$cloud_meta,<sensor_id>,<vdd>,<ta>
$hygro,<temperature>,<humidity>,<dew_point>
$thrmap,<sensor_id>,<pixel0>,...,<pixel767>

Notes:

• $light carries a leading channel number (0 or 1) identifying which TSL2591 behind the I²C mux produced the reading.
• $cloud and $cloud_meta carry a leading sensor_id selecting one of the two MLX90642 thermal sensors.
• $cloud gives the four corner temperatures and the centre sky temperature in °C.
• $thrmap is the full 32×24 thermal map — 768 values, enabled with the thrmap_on serial command.
• $hygro is the only message with no index field.

Device configuration is stored in EEPROM and survives power cycles. See the protocol documentation for the full command set, including SQM calibration and the hardware alert output.

HDF5 logging

With --log, the viewer writes a self-describing HDF5 file containing resizable, timestamped datasets grouped per subsystem:

/sky<N>/       thermal map frames, timestamps, sensor temperature
/cloud<N>/     corner and centre temperatures
/light<C>/     full-spectrum, IR, gain, integration time per channel
/hygro/        temperature, humidity

Files are named from --log-name and the session start time, and can be replayed later with --replay.

HTTP JSON API

With --api, the viewer serves the most recent readings as JSON:

curl http://localhost:8080/data.json

Port 8080 is the default; it is configurable in the viewer's settings panel and is remembered between runs.

This makes it straightforward to feed an observatory dashboard, a weather-safety watchdog, or a home automation system without parsing the serial stream yourself.

Using the parsers from your own code

The modules are importable, so you can reuse the protocol parsing directly:

from amsky_viewer import parse_light, parse_cloud

channel, lux, full_raw, ir_raw, gain, itime, sqm = parse_light(
    "$light,0,12.34,1000,200,1,100,21.50"
)
sensor_id, tl, tr, bl, br, center = parse_cloud(
    "$cloud,1,-20.1,-20.2,-20.3,-20.4,-21.0"
)

Each parser returns None for a line it does not recognise or cannot parse, so they are safe to apply to a raw serial stream.

Author

Roman Dvořák, AstroMeters — info@astrometers.eu

To purchase AMSKY02, or for integration support, get in touch at info@astrometers.eu.

License

MIT — see LICENSE.