We have hosted the application geigerlog in order to run this application in our online workstations with Wine or directly.


Quick description about geigerlog:

GeigerLog is a combination of data logger, presenter, and analyzer, and is now released in version 2.0.0!

New: Gamma Spectra - can now be displayed, calibrated, and evaluated in GeigerLog!

Based on Python (Version 3), it runs on Linux, Windows, Macs, Raspberry Pi, and other. GeigerLog is WiFi-enabled for servers and clients; it can be monitored by SmartPhone.

Initially developed for Geiger counters, it is now a more universal tool, which equally well handles data like temperature, air-pressure, humidity, CO2. Continues to support Geiger counters like GQ Electronic's GMC-300/500/600 , RadMon, RadPro, Gamma-Scout, audio-click and other low-cost Geiger counters, IoT devices, I2C based sensors.

GeigerLog reads data from devices, saves them to databases, prints to screen and plots as auto-updated, customizable graphs. Quality control using Statistics, Scatter, Poisson, FFT & Autocorrelation, and more.

The Raspberry Pi 4, 5 qualify as GeigerLog hosts.

Features:
  • Handling a Geiger counter with digital signals or audio clicks
  • Handling environmental sensors
  • Data logging
  • Data graphing
  • GUI and non-GUI Versions
  • Quality Control of your data
  • Technical Articles on Measurement with Geiger Counters and I2C sensors
  • Using GQ's GMC 300/320/500/600 series of Geiger counters
  • Using Gamma-Scout's Geiger counters
  • Using RadMon series Geiger counters
  • Using Audio-Click Signal based Geiger counters
  • Using RadPro firmware enhanced Geiger counters
  • Using IoT devices
  • Using I2C sensors
  • Using BOSCH BME280 I2C Sensor (Temperature, Pressure, Humidity)
  • Using Sensirion CO2 sensors SCD30 and SCD41
  • Using TSL2591 I2C Sensor (Light)
  • Using CO2 monitors
  • Using LabJack U3 devices
  • Runs on Raspberry Pi
  • Raspi specific software to make it act as WiFiServer for GeigerLog
  • Displaying and evaluating Gamma Spectra


Audience: End Users/Desktop, Engineering, Science/Research, Testers.
User interface: Qt.
Programming Language: JavaScript, Python.
Database Environment: SQL-based.

Categories:
Hardware Drivers, Physics, Test and Measurement, Raspberry Pi

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