Search Results for "jargs/gnu/cmdlineparser"
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4 programs for "jargs/gnu/cmdlineparser" with 2 filters applied:
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With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
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myHouse
Home monitoring and automation suite now known as eGeoffrey
PLEASE NOTE: myHouse has been a nice starting point but difficult to customize, maintain and evolve. For these and many other reasons, I've completely re-designed- re-architect myHouse also giving it a new name (eGeoffrey). The basic principles are the same, the software is still open source but now is supposed to be way simpler to configure (entirely via the web interface), use, customize and extend. If you want to give it a look, check out https://www.egeoffrey.com. I've also put... -
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Gigaset Elements command line interface
Python based command line interface for Gigaset Elements
gigasetelements-cli is a python based program which allows you to control your Gigaset Elements home security system. It comes with an easy to use CLI (command-line interface) suitable for direct use or cron jobs. -
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VelisphereClientSDK
Client SDK for the VeliSphere IoT System
This is the Java client SDK for the Velisphere Internet of Things Cloud System. It provides tools and libraries to develop clients that connect as devices or services (with sensors, actors and other configurable function) to Velisphere, where you can connect them with other devices based on an easy to build rules-system, analyze data, locate devices, remote manage them, store binary data in a "dropbox for things", etc. Currently the SDK is available to connect to Velisphere via the AMQP... -
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This project is a low cost & lowpower Datalogger based on BeagleBone Black. The data logger is an electronic device that records earthquakes(Sensor network), Wind ,daylight ,power used/produced on the street lamp over time. Data will then be uploaded via a wireless radio MESH network(868 Mhz) to a database server for later analyze. The Prototype is developed on two microcontrollers(AVR and ARM Cortex-A8) with the low power and
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