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:
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