How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
GAST is a toolkit for using Android's Sensing capabilities. It contains the examples, boiler plate code, and algorithms you need to properly use Android sensors.
The main features of gast-lib/gast-lib are: Sensor and Hardware.
Open-source alternatives to gast-lib/gast-lib include: microsoft/windows-universal-samples — This repository is a comprehensive collection of reference implementations and sample libraries for the Universal… librehardwaremonitor/librehardwaremonitor — LibreHardwareMonitor is a .NET library and system health monitoring tool for Windows. It provides a programmatic… xavierberger/rpi-monitor — RPi-Monitor is a monitoring suite designed for embedded Linux environments and single-board computers. It provides a… dz0ny/leapcast — ChromeCast emulation app for any device. jeppsson/arduino-communicator — Very simple Android application for communicating with Arduino. j4velin/pedometer — Lightweight pedometer app for Android using the hardware step sensor.
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LibreHardwareMonitor is a .NET library and system health monitoring tool for Windows. It provides a programmatic hardware sensor API and a low-level interface to access real-time temperature, voltage, and fan speed data from computer hardware components. The project serves as a bridge between Windows operating system calls and physical sensors, allowing for the monitoring of processors, graphics cards, motherboards, storage devices, and network adapters. This enables the tracking of system stability and the collection of environmental changes across various hardware components. The software
RPi-Monitor is a monitoring suite designed for embedded Linux environments and single-board computers. It provides a framework for gathering real-time hardware telemetry, tracking system performance metrics, and visualizing data through a web-based dashboard. The system is built to handle long-term data persistence by utilizing fixed-size round-robin databases, ensuring historical records are maintained without exceeding storage capacity. The project distinguishes itself through its focus on embedded hardware integration and flexible deployment. It supports the monitoring of external physical