Open Source Mobile Operating Systems IoT Software

myFocuserPro2 (myFP2) is an ASCOM - INDI - LINUX - WINDOWS telescope focuser with a large range of options. 315,606+ file downloads. The most popular focuser project. (c) Copyright Robert Brown 2014-2026. All Rights Reserved. Code or portions of code may not be copied or used without written permission from the author. Other Focuser Projects myFP2ESP32 WiFi - https://sourceforge.net/projects/myfocuserpro2-esp32/ [ESP32 Only] myFP2ESP8266 WiFi - https://sourceforge.net/projects/myfp2esp8266-focus-controller/ myFP2N - Nextion touch screen display - https://sourceforge.net/projects/arduinoascomfocuserpro2diy/files/myFocuserPro2N%20NEXTION%20TFT%20DISPLAY/ myFP2M - Ready made Controllers https://sourceforge.net/projects/arduinoascomfocuserpro2diy/files/myFocuserPro2M/ Please look in the Files-Documents folder for more information. https://sourceforge.net/projects/arduinoascomfocuserpro2diy/files/Documentation/

mySQM+ Sky Quality Meter/Weather Station (c) R Brown, 2020-2025, All rights reserved. Permission is granted for personal and Academic use only. Code or portions of code may not be copied or used without appropriate credit given to author(s). EXPANSION BOARDS - You can expand this project using the two types of project expansion boards at https://sourceforge.net/projects/myesp-boards/

A versatile test tool running on Windows/Linux/macOS/Android. Works as data transceiver/realtime plotter/shortcut/file transceiver. Supports serial port, Bluetooth SPP client/server, Bluetooth LE client, TCP client/server, UDP. Homepage: https://github.com/wh201906/SerialTest

Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles. Improve electric vehicle (EV) battery range estimates with crowdsourced environmental data, such as weather and driving conditions, from nearby vehicles. Collect select data from nearby vehicles and use it to notify drivers of changing road conditions, such as lane closures or construction. Use near real-time data to proactively detect and mitigate fleet-wide quality issues.

An ESP32-Dev WiFi focuser. DIY or PCB designs. (c) Robert Brown 2014-2025, Holger M, 2019-2021. All rights reserved. Code or portions of code may not be copied or used without appropriate credit given to authors. Spreadsheet to calculate what stepper motor to use. https://sourceforge.net/projects/arduinoascomfocuserpro2diy/files/Documentation/Nema-Stepper-Motors.xlsx/download Spreadsheets to calculate CFZ https://sourceforge.net/projects/myfocuserpro2-esp32/files/CFZ%20Spreadsheets/CFZ%20Spreadsheets.zip/download Focuser Basics Guide (PDF) - shows how to derive the correct motor requirements for your system (mandatory reading) https://sourceforge.net/projects/myfocuserpro2-esp32/files/Documentation/Focuser%20Basics.pdf/download Part1: Download, Configuration and Programming https://youtu.be/90KeSspN3e0 Project is superceded by myESP32S3-N16R8 WiFi Focuser

SiteWhere is an industrial-strength, open-source IoT Application Enablement Platform that facilitates the ingestion, storage, processing, and integration of IoT device data at a massive scale. The platform leverages a microservices architecture that runs on top of cutting-edge technologies such as Kubernetes, Istio, and Kafka in order to scale efficiently to the loads expected in large IoT projects. SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both infrastructures such as highly-available databases and MQTT brokers as well as microservices to facilitate various aspects of IoT project development. The platform is built with a framework approach using clearly defined APIs so that new technologies may easily be integrated as the IoT ecosystem evolves. SiteWhere is composed of Java-based microservices which are built as Docker images and deployed to Kubernetes for orchestration.

iHome is a fully tested Smart Home Automation system using the Raspberry Pi Zero WiFi SBC and Linux OS and has all the functional features of NEST or ECOBEE smart thermostats with the added benefit of full privacy and security at less than half the price! It incorporates MBLogic with algorithms and Modbus coms for HVAC home control via the ionware modbus compatible ionC1 input/output controller board. The iHome software system comes fully configured as a SD Card image file for Raspberry Pi Zero wifi Plug and Play capability complete with MBLogic, Node-RED and MQTT already fully installed and ready to go. See wiki instructions to burn the SD Card image file, insert into your RPi Zero and Plug and Play. The iHome is an Internet of Things (IOT) demo project for the ionware ionC1 hardware and the software system and is a complete SCADA platform c/w Modbus TCP Servers and Modbus RS485 serial clients for scalable building automation projects. See - ionware.io/free-offer/

Sprout is an intelligent plant monitoring system that bridges the gap between nature and technology. By combining real-time IoT sensor data with Google’s Gemini AI, Sprout transforms raw environmental metrics into a casual, friendly conversation with your houseplant. Sprout isn't just a dashboard; it's a personality. The system monitors Moisture, Temperature, Humidity, and Light, feeding this data into a sophisticated 6-tier AI backend. Your plant doesn't just show you graphs—it tells you how it feels, gives you care tips, and provides a weekly "Botanist's Report" on its health. Important : For the application to work you would need an arduino with right sensors and code , to know more visit the offical repo of this project : https://github.com/Vignesh-72/Sprout

Control logic Java package is a set of Java classes aimed at: - Implementation of a real-time PC-based control - Simulation of control systems Setting up a control system involves working with so-called triggers. See project Wiki for detailed information and examples.

⍣⍣⍣⍣Features⍣⍣⍣ ★SpyFree ★Safe ★Only 3 basic permissions ★No Personal Data Collection ★Quick Light Mode Keep your personal information and contacts with No BS Flashlight.

OWLOS Open source network operating system for managing IoT devices: - does't require internet access or additional servers - ready to connect sensors, actuators, LCD, DHT, Stepper and other devices - does't require programming skills - built-in user interface - use web browser to access and manage your OWLOS nodes - built-in RESTful server - built-in MQTT client - at the same time WiFi access point and station, in any combination: - can be used autonomously - can work on a local network can work via the Internet can integrate with other nodes running under OWLOS - organizing an internal network. without using a servers available in source code