Open Source Python System Software

GeigerLog is a combination of data logger, presenter, and analyzer, and now released as version 1.5.0 ! Based on Python (Version 3), it runs on Linux, Windows, Macs, Raspberry Pi, and other. Supports HiDPI screens. 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 GQ Electronic's GMC-300/500/600 Geiger counters, RadMon, Gamma-Scout Geiger counters, audio-click Geiger counters, IoT devices, I2C based sensors. New is the support of the RadPro firmware, suitable for various low-cost Geiger counters. 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 5 qualifies as full GeigerLog host.

Xplico is a Network Forensic Analysis Tool (NFAT). The goal of Xplico is extract from an internet traffic capture the applications data contained. For example, from a pcap file Xplico extracts each email (POP, IMAP, and SMTP protocols), all HTTP contents, each VoIP call (SIP, MGCP, MEGACO, RTP), IRC, WhatsApp... Xplico is able to classify more than 140 (application) protocols. Xplico cam be used as sniffer-decoder if used in "live mode" or in conjunction with netsniff-ng. Xplico is used also in CapAnalysis: http://www.capanalysis.net

Platform providing the support for Wireless Sensor Networks in the domain of Natural Hazards as a Service. The objective of the WSN platform is monitoring the behaviour of rockfall barriers, rockfall netting, rock sheds and other protection systems

This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project.

This project aims to provide software usefull in automation tasks like building automation. Different backends are supported like KNX or OpenHAB. Note: The project has moved to GitHub. Please consult: https://github.com/CometVisu/CometVisu - for the CometVisu https://github.com/OpenAutomationProject - for the different OpenAutomation subprojects

Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com.

Researches have shown that immediate feedback can increase energy saving dramatically. YoMo aims to empower people using low-cost open hardware smart meters in their household. The metering system consists of a coordination unit, a raspberry pi, and several smart meters, arduino boards equipped with communication shields and our self-designed yomo metering shield. The smart meters are attached to household devices and monitor their energy consumption. The gathered data is timestamped and transmitted to the coordination device. This device offers interfaces to control the smart meters. On top of the software runs a apache webserver that provides all estimated data on our yomo project homepage. The system does not need any maintenance and works out of the box after the devices were integrated into the households Wi-Fi network. Link to the scientific paper: http://link.springer.com/article/10.1007%2Fs00450-014-0290-8#/page-1

This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. Made for LINUX. GNU General Public License version 3.0 (GPLv3)

A distributed network of sensors with a central data store, to record environmental data. Project goals include: * to serve as a teaching outlet for: ** sensor programming ** distributed data collecting ** web APIs ** database ** web UI for numerical data ** graphing data sensibly It also gives me some infotainment in new (to me) technologies, and as an excuse to scatter ever more Raspberry Pis around my home.