Open Source C++ IoT Software
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C++ IoT Software
View 263 business solutionsBrowse free open source C++ IoT Software and projects below. Use the toggles on the left to filter open source C++ IoT Software by OS, license, language, programming language, and project status.
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ESPHome
ESPHome is a system to control your ESP8266/ESP32
ESPHome is a system for defining and deploying custom firmware to ESP8266 and ESP32 microcontrollers for smart home automation. Using a simple YAML configuration, users can specify how sensors, switches, and devices should behave, and ESPHome compiles and flashes the firmware accordingly. Integrated seamlessly with Home Assistant, ESPHome is ideal for DIY home automation enthusiasts who want full control over their IoT devices. -
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SerialTest
A cross platform debugger for serial port/Bluetooth/TCP/UDP
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 -
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emqx
The Most Scalable MQTT Broker for IoT
EMQX is the world's most scalable and reliable MQTT Broker designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen and Ericsson. Flex to meet the demands of various industries towards digital transformation, including Connected Vehicles, Industrial IoT, Oil & Gas, Carrier, Finance, Smart Energy, and Smart Cities. -
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OSHMI - Open Substation HMI
SCADA HMI for substations, IoT and automation applications
Now with IEC61850 support! This project combines existing open source projects and tools to create a very capable, mobile and cloud-friendly HMI system that can rival proprietary software. This approach makes it possible to join forces of each project (Chromium, SVG/HTML5, PHP, Lua, SQLite, Inkscape, Lib61850, OpenDNP3, Nginx, Vega, PostgreSQL, Grafana,…) to achieve a great set of open, evergreen, modular and customizable tools for building great HMIs for automation projects. This is not a toy project! It's been actually used in dozens of substations up to 230kV level and also in control centers with configurations up to 70.000 tags. Feel free to ask questions in the "Discussion" section. Help sponsoring OSHMI here https://github.com/sponsors/riclolsen. >>> Have a look also at my new SCADA project here: https://github.com/riclolsen/json-scada -
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AWS IoT Device SDK for C++ v2
Next generation AWS IoT Client SDK for C++ using AWS Common Runtime
Next-generation AWS IoT Client SDK for C++ using the AWS common runtime. This document provides information about the AWS IoT device SDK for C++ V2. If you have any issues or feature requests, please file an issue or pull request. This SDK is built on the AWS Common Runtime, a collection of libraries (AWS-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal, aws-c-auth, s2n...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to C++ by the AWS-crt-CPP package. -
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AWS IoT C++ Device SDK
SDK for connecting to AWS IoT from a device using C++
The Device SDK simplifies access to the Pub/Sub functionality of the AWS IoT broker via MQTT and provides APIs to interact with Thing Shadows. The SDK has been tested to work with the AWS IoT platform to ensure the best interoperability of a device with the AWS IoT platform. The Device SDK provides functionality to create and maintain a MQTT Connection. It expects to be provided with a Network Connection class that connects and authenticates to AWS IoT using either direct TLS or WebSocket over TLS. This connection is used for any further publish operations. It also allows for subscribing to MQTT topics which will call a configurable callback function when these messages are received on these topics. This SDK implements the specific protocol for Thing Shadows to retrieve, update and delete Thing Shadows adhering to the protocol that is implemented to ensure correct versioning and support for client tokens. -
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AWS IoT FleetWise Edge
AWS IoT FleetWise Edge Agent
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. -
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Async.MQTT5
A C++17 MQTT client based on Boost.Asio
Async.MQTT5 is a professional, industrial-grade C++17 client built on Boost.Asio. This Client is designed for publishing or receiving messages from an MQTT 5.0 compatible Broker. Async.MQTT5 represents a comprehensive implementation of the MQTT 5.0 protocol standard, offering full support for publishing or receiving messages with QoS 0, 1, and 2. The MQTT protocol is widely utilised for communication in various real-world scenarios, primarily serving as a reliable communication protocol for data transfer to and from IoT devices. While the MQTT protocol itself is relatively straightforward, integrating it into an application can be complex, especially due to the challenging implementation of message retransmission after a disconnect/reconnect sequence. The aim of Async.MQTT5 is to provide a very simple asynchronous C++ interface for application developers. The internal Client's implementation manages network and MQTT protocol details. -
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DHT22-MQTT-Sensor-ESP8266 (NodeMCU)
Use DHT22 temperature / humidity sensor on NodeMCU (ESP8266) with MQTT
This is a Sketch for the arduino IDE to enable the usage of a DHT22 sensor connected to a NodeMCU (ESP8266) with MQTT. Also supported are 2 status LED's and a SPI diaplay. After start the sensor device, there will be a Wifi-AP for configuration purposes. After successfully configuration, the sensor is connected as a Wifi-client and send the temperature and humidity data via MQTT within the given intervall. During AP-mode and client-mode, there are some RESTful functions (HTTP-requests) available, for configuration and retrieving information. -
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ESP32 ACME client
ESP32 library for ACME protocol client (to get certificates)
ACME client library for ESP32 Copyright © 2019, 2020, 2021, 2023, 2024 by Danny Backx ACME is a protocol (see https://tools.ietf.org/html/rfc8555 for automatic certificate management. Sites such as letsencrypt.org allow you to obtain free (no charge) certificates in an automated way using the ACME protocol. This library allows you to get certificates for IoT devices based on the ESP32. More info in https://sourceforge.net/p/esp32-acme-client/code/HEAD/tree/trunk/Readme.md. Specific configuration examples and technology overview is in https://sourceforge.net/p/esp32-acme-client/code/HEAD/tree/trunk/components/acmeclient/Configurations.md. You can get this component from Espressif's component registry ( https://components.espressif.com/components?q=dannybackx ). Put this component into your project with idf.py add-dependency dannybackx/acmeclient -
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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
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. -
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GreenHop
Energy and environmental monitoring of the server room
The solution GreenHop aims to perform energy and environmental (temperature, humidity, dew point and atmospheric pressure) monitoring of the Data Center server room, providing energy efficiency indicators through green metrics for Data Centers. The GreenHop solution is based on open source software and hardware. The approach of using open source solutions enables its deployment easier and independently of suppliers at the same time makes the solution scalable to the needs of each organization. Thus, we aim to provide ambiental monitoring of the Data Center server room while we keep the system to be customizable to implement and replicate. -
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OWLOS
Open source network operating system for managing IoT devices.
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 -
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SmartHomePanel
Truly Open, Fully Customizable, and Universal Smart Home Control Panel
SmartHomePanel is an open-source, wxWidgets-based dashboard engineered to run on any Linux SBC with a touchscreen (e.g., Raspberry Pi). It serves as a dedicated, lightweight control panel, designed for seamless communication with any Smart Home system, including popular hubs like Home Assistant and OpenHAB.
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