Open Source IoT Software

myFocuserPro2 (myFP2) is an ASCOM - INDI - LINUX - WINDOWS telescope focuser with a large range of options. 309,000+ file downloads. The most popular focuser project. (c) Copyright Robert Brown 2014-2025. 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/

An ESP32 WiFi focuser based on ESP32 WiFi. DRV8825, ULN2003, L298N, TMC2225, TMC2209. Support for ALPACA, Android, ASCOM, INDI, Linux, NINA, Webserver, JSON, TCP/IP. (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 author. 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 https://youtu.be/90KeSspN3e0

GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. GROWSS also controls the exhaust fan and grow lights based on the time interval (ie. 12 hours on/12 hours off) & from environmental factors, temp & humidity. The environmental values are saved to the local storage every 15 minutes and when an alarm is present. Hi & low values are also saved. The LEDs on the case & the mobile application indicate if there is a high/low temp alarm, hi/low humidity alarm, soil moisture alarm, or smoke alarm. A speaker (buzzer) is activated on the case if there is a smoke alarm. 2 other LEDs indicate if either the exhaust fan is on or if the humidifier is on.

Make your Raspberry Pi to a Wi-Fi controllable LED Light using LED stripes with WS 2811 controller. This software enables the raspberry to provide a web server interface (HTTP / Rest) for controlling the connected LED stripe. That project bases on the WiringPi lib, Indy for Lazarus and also on the Tinkerforge bindungs for Lazarus. The Stripe must be connected with the Tinkerforge Masterbrick and the LED-Stripe bricklet. WiringPi is used to control the GPIOs for some feature and Indy (Internet Direct) is used to support all network feature like UDP-broadcasting and handling the HTTP-requests. The development platform is Lazarus.

C# library for the HD44780 controller and a I2C-Adapter PCF8574T. Prerequisite: -Raspberry Pi -Installed Mono or NetCore -Installed Wiring Pi Library -connected LCD display over I2C (A00) Features: -Simple design and display own chars (see progress demo) -German umlaute -Access easy special chars like pi, degree,omega .... -Display strings center, left and right align -Control backlight,Cursor,Display -simple interface

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.