Open Source Mac IoT Software
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IoT Software for Mac
View 37 business solutionsBrowse free open source IoT software and projects for Mac below. Use the toggles on the left to filter open source IoT software by OS, license, language, programming language, and project status.
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MQTT X
Powerful cross-platform MQTT 5.0 desktop, CLI, and WebSocket client
MQTT X is a cross-platform MQTT 5.0 client tool open sourced by EMQ, which can run on macOS, Linux and Windows, and supports formatting MQTT payload. MQTT X simplifies test operation with the help of a familiar, chat-like interface. It’s easy and quick to create multiple, simultaneous online MQTT client connections, and can test the connection, publishing, and subscription functions of MQTT/TCP, MQTT/TLS, MQTT/WebSocket as well as other MQTT protocol features. MQTT stands for MQ Telemetry Transport. It is a publish/subscribe, extremely simple and lightweight messaging protocol, designed for constrained devices and low-bandwidth, high-latency or unreliable networks. To run MQTT Broker locally, EMQX is recommended: An Open-Source, Cloud-Native, Distributed MQTT Broker for IoT. After the MQTT is connected successfully, you can perform MQTT publish and subscription tests. -
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JetLinks
JetLinks is developed based on Java, Spring Boot, WebFlux, Netty
JetLinks Community is an open-source enterprise IoT platform built with Java, Spring Boot, WebFlux, Netty, Vert.x, Reactor, and related reactive technologies. It is designed to help teams quickly build IoT business systems without starting from a blank backend. The platform supports unified device modeling, unified device access, and centralized management across different device types, vendors, and communication protocols. It can connect devices through TCP, UDP, MQTT, HTTP, TLS, DTLS, and other protocol patterns while hiding much of the complexity of network programming. JetLinks also includes real-time data processing, device alerts, message notifications, data forwarding, geographic features, visualization, and a configurable rule engine. It is best suited for companies that need a customizable IoT foundation for device management, telemetry, automation, and industrial or enterprise monitoring. -
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ThingsBoard
Device management, data collection, processing and visualization
ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols, MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data. Provision, monitor and control your IoT entities in a secure way using rich server-side APIs. Define relations between your devices, assets, customers or any other entities. Collect and store telemetry data in a scalable and fault-tolerant way. Visualize your data with built-in or custom widgets and flexible dashboards. Share dashboards with your customers. Define data processing rule chains. Transform and normalize your device data. Raise alarms on incoming telemetry events, attribute updates, device inactivity, and user actions. -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis. -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its state. Each device’s shadow is uniquely identified by the name of the corresponding “thing”, a representation of a specific device or logical entity on the AWS Cloud. See Managing Devices with AWS IoT for more information on IoT "thing". More details about AWS IoT Device Shadow can be found in AWS IoT documentation. This library is distributed under the MIT Open Source License. -
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AWS IoT Device SDK for Java v2
Next generation AWS IoT Client SDK for Java
Next-generation AWS IoT Client SDK for Java using the AWS Common Runtime. 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 Java by the aws-crt-java package. Consuming this SDK via Maven is the preferred method of consuming it. Supports API 26 or newer. NOTE: The shadow sample does not currently complete on android due to its dependence on stdin keyboard input. You will need to override and provide a ROOT_CERTIFICATE manually from one of the following certificates. -
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Eclipse Mosquitto
Eclipse Mosquitto - An open source MQTT broker
Eclipse Mosquitto is an open-source MQTT message broker from the Eclipse ecosystem. It implements MQTT versions 5.0, 3.1.1, and 3.1 for lightweight publish-and-subscribe communication. The project is designed for IoT, machine-to-machine messaging, telemetry, home automation, embedded devices, and distributed systems that need efficient event delivery. It includes the broker itself, C and C++ client libraries, and command-line tools for publishing, subscribing, request-response testing, password management, broker control, and signaling. Mosquitto is portable and can run on small devices, servers, containers, and many operating systems. Its main value is providing a mature, lightweight, widely adopted MQTT implementation for reliable messaging in constrained and production environments. -
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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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LavinMQ
Ultra quick message queue and streaming server
LavinMQ is a high-performance message queue and streaming server built for efficient message delivery. It implements AMQP 0-9-1 and MQTT 3.1.1, making it useful for applications that need reliable messaging, IoT communication, event processing, and backend service coordination. The server is written in Crystal, which helps it keep memory usage low while supporting high throughput. It is designed to handle very long queues, many client connections, and production workloads with minimal configuration. LavinMQ can be used as a lightweight alternative in RabbitMQ-compatible environments where AMQP-based clients are already common. Its main value is combining speed, low resource consumption, protocol compatibility, and operational simplicity in one open-source broker. -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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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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AWS IoT Device SDK for Embedded C
SDK for connecting to AWS IoT from a device using embedded C
The AWS IoT Device SDK for Embedded C (C-SDK) is a collection of C source files under the MIT open source license that can be used in embedded applications to securely connect IoT devices to AWS IoT Core. It contains MQTT client, HTTP client, JSON Parser, AWS IoT Device Shadow, AWS IoT Jobs, and AWS IoT Device Defender libraries. This SDK is distributed in source form and can be built into customer firmware along with application code, other libraries, and an operating system (OS) of your choice. These libraries are only dependent on standard C libraries, so they can be ported to various OS's - from embedded Real-Time Operating Systems (RTOS) to Linux/Mac/Windows. You can find sample usage of C-SDK libraries on POSIX systems using OpenSSL (e.g. Linux demos in this repository), and on FreeRTOS using mbedTLS (e.g. FreeRTOS demos in the FreeRTOS repository). The coreHTTP library provides the ability to establish an HTTP connection with a server over a customer-implemented transport layer. -
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Gobot
Golang framework for robotics, drones, and the Internet of Things
Gobot makes controlling robots and devices incredibly simple and fun. This program connects to an Arduino, and toggles an LED, every one second. Support for devices that use Analog Input/Output (AIO) communication have a shared set of drivers provided using the "gobot/drivers/aio" package. Support for devices that use General Purpose Input/Output (GPIO) communication have a shared set of drivers provided using the "gobot/drivers/gpio" package. Gobot has a extensible system for connecting to hardware devices. Gobot includes a RESTful API to query the status of any connection, device or robot running in your swarm. It additionally has the ability to issue commands directly to your devices and robots. It also comes with the robeaux React.JS interface baked right into its API server for quick and easy configuration. -
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IoT Technical Guide
IoT Technical Guide - Building a High-Performance IoT Platform
IoT Technical Guide is a Chinese-language learning repository for understanding how high-performance Internet of Things platforms are designed and built. It walks readers through the architecture, concepts, and engineering stack behind IoT systems instead of only listing isolated tools. The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. It is intended for developers who want to learn how real IoT platforms organize devices, messages, protocols, and backend services. The repository is especially useful as a structured study path for readers preparing to build or customize an IoT platform. It functions more as a technical tutorial and roadmap than as a single installable software package. -
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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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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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SCADA-LTS
A comprehensive Supervisory Control, Data Acquisition, and Execution
SCADA-LTS is an advanced FOSS, web-based, multi-platform environment designed to build your own Supervisory Control, Data Acquisition, and Management Execution Software - SCADA/MES. Its architecture provides a robust foundation for complex industrial automation and monitoring. Optimized for Smart Infrastructure, it is highly capable of managing industrial PV/BESS, Smart buildings, municipal Water networks or Wastewater treatment, ANPR telemetry, City-wide lighting, and other diverse data administration workflows. Beyond standard use, SCADA-LTS serves as a secure "independent source of truth" in sandboxed or zero-trust environments. It enhances critical infrastructure with cyber-alarm functionality, emergency operation scenarios, and vital operational visibility. Developed since 2015 on behalf of Abil'I.T. and supported by a global community, the project focuses on stability, security, and modernizing the codebase to meet the demands of industry, defense, and wide-area distributed -
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Arm Mbed OS
Platform operating system designed for the Internet of Things
Arm Mbed OS is an open source embedded operating system specifically designed for the Internet of Things. It’s packed with all the features you need to develop your next IoT product based on an Arm Cortex-M microcontroller efficiently, securely and rapidly. These include security foundations, cloud management services, and drivers for sensors and I/O devices. -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. IoTDB can be installed on a local controller server in the factory to receive data from those devices. The local controller server (normal PC or workstation) with IoTDB can provide the ability to persist data and query data with SQL-like interface. In addition, with TsFile-Sync tool, TsFiles on the local controller can be transmitted to the data center equipped with IoTDB instance in the cloud. -
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Johnny-Five
JavaScript Robotics and IoT programming framework
Johnny-Five is the JavaScript Robotics & IoT Platform. Released by Bocoup in 2012, Johnny-Five is maintained by a community of passionate software developers and hardware engineers. Over 75 developers have made contributions towards building a robust, extensible and composable ecosystem. The only kit designed for getting started with Johnny-Five! The Johnny-Five Inventor's Kit, from Bocoup and SparkFun, is now available! It's designed for anyone who wants to get started with JavaScript-powered robotics. The J5IK includes a Tessel 2, and everything else you need to do 14 experiments! No programming or soldering experience is required. Microcontrollers and SoC platforms like to say "Hello World" with a simple blinking LED; the following demonstrates how to do this with the Johnny-Five framework. -
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MQTTnet
High performance .NET library for MQTT based communication
MQTTnet is a high-performance .NET library for MQTT-based communication. It provides an MQTT client and an MQTT server (broker) and supports the MQTT protocol up to version 5. TLS support for client and server (but not UWP servers). Extensible communication channels (e.g. In-Memory, TCP, TCP+TLS, WS). Lightweight (only the low-level implementation of MQTT, no overhead). Performance optimized (processing ~150.000 messages/second). Uniform API across all supported versions of the MQTT protocol. Tested on the local machine (Intel i7 8700K) with MQTTnet client and server running in the same process using the TCP channel. The app for verification is part of this repository and stored in /Tests/MQTTnet.TestApp.NetCore. List of connected clients available. Supports connected clients with different protocol versions at the same time. Able to publish its own messages (no loopback client required). Able to receive every message (no loopback client required). -
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Mongoose OS
IoT firmware development framework
Mongoose OS, an IoT Firmware Development Framework. Supported microcontrollers, ESP32, ESP8266, CC3220, CC3200, STM32F4, STM32L4, STM32F7. Amazon AWS IoT, Microsoft Azure, Google IoT Core integrated. Code in C or JavaScript. Mongoose OS is integrated and powers many types of devices and appliances globally. Microsoft Azure IoT recommends Mongoose OS for OTA, automatic device management and deploying firmware updates at scale. Built-in flash encryption, crypto chip support, ARM mbedTLS optimized for small memory footprint. Device management dashboard service. Supported microcontrollers are CC3220, CC3200, ESP32, ESP8266, STM32F4, STM32L4, STM32F7. Recommended dev kits are ESP32-DevKitC for AWS IoT, ESP32 Kit for Google IoT Core. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models (https://acims.asu.edu/software/cosmos/). -
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ESP Easy
Arduino IDE sketch for ESP8266 modules
Firmware for ESP8266 modules. http://www.esp8266.nu/index.php/Tutorial_ESPEasy_Firmware_Upload Use an ESP8266 module as a wireless sensor for temperature, humidity, barometric pressure, LUX, etc. Or use it as an actuator to control Relays. Supports the following Home Automation platform protocols: * Domoticz HTTP * Domoticz MQTT * OpenHAB MQTT * PiDome MQTT * Nodo Telnet * ThingSpeak webservice * EmonCMS * FHEM HTTP * Generic HTTP using templates Supported devices: * DS18B20 * DHT11 * DHT22 * BH1750 * BMP085 * Wiegand RFID * PN532 * SI7021 * TSL2516 * HCSR04 * TSOP4838 IR * MCP23017 * PCF8591 * PCA9685 * LCD and OLED displays * BME280 * INA219 * MLX90614 * ADS1115 * MSP5611 * BMP280 * SHT1x The ESP is web configurable for both Wifi setup and device configuration. For support: - have a look at the wiki on www.esp8266.nu - join our forum on www.esp8266.nu/forum -
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PeekESP
Cross-platform system monitoring for Android and ESP32.
PeekESP is a cross-platform system monitoring tool that brings remote system metrics to Android home-screen widgets, dedicated ESP32 desk displays, Raspberry Pi screens, desktop hosts, and Home Assistant. It allows you to monitor CPU, memory, storage, temperature, uptime, and network throughput seamlessly across multiple devices. Operating through a lightweight Cloudflare Worker relay with zero accounts or complex port-forwarding required, PeekESP uses simple local pairing codes to connect agents and viewers securely. It supports Windows, Linux/DietPi, macOS, and Android, letting you keep tabs on your hardware effortlessly.
