Open Source Mac IoT Software
Sort By:
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.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
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. -
2
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. -
3
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. -
4
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. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
5
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 -
6
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. -
7
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. -
8
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. -
9
AWS IoT Device SDK for Java
Java SDK for connecting to AWS IoT from a device
The AWS IoT Device SDK for Java enables Java developers to access the AWS IoT Platform through MQTT or MQTT over the WebSocket protocol. The SDK is built with AWS IoT device shadow support, providing access to thing shadows (sometimes referred to as device shadows) using shadow methods, including GET, UPDATE, and DELETE. It also supports a simplified shadow access model, which allows developers to exchange data with their shadows by just using getter and setter methods without having to serialize or deserialize any JSON documents. A new AWS IoT Device SDK is now available. It is a complete rework, built to improve reliability, performance, and security. We invite your feedback! The SDK is built on top of the Paho MQTT Java client library. Developers can choose from two types of connections to connect to the AWS IoT service. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
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. -
11
AWS IoT SDK for JavaScript
SDK for connecting to AWS IoT from a device using JavaScript/Node.js
A new AWS IoT Device SDK is now available. It is a complete rework, built to improve reliability, performance, and security. We invite your feedback! The aws-iot-device-sdk.js package allows developers to write JavaScript applications that access the AWS IoT Platform via MQTT or MQTT over the Secure WebSocket Protocol. It can be used in Node.js environments as well as in-browser applications. This package is built on top of mqtt.js and provides three classes: 'device', 'thingShadow' and 'jobs'. The 'device' class wraps mqtt.js to provide a secure connection to the AWS IoT platform and expose the mqtt.js interfaces upward. It provides features to simplify the handling of intermittent connections, including progressive backoff retries, automatic re-subscription upon connection and queued offline publishing with a configurable drain rate. Beginning with Release v2.2.0 of the SDK, AWS collects usage metrics indicating which language and version of the SDK is being used. -
12
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). -
13
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. -
14
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 -
15
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. -
16
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. -
17
AWS IoT Fleet Provisioning Library
Client library for using AWS IoT Fleet Provisioning service
The Fleet Provisioning library enables you to provision IoT devices without device certificates using the Fleet Provisioning feature of AWS IoT Core. For an overview of provisioning options available, see Device provisioning. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT 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, and validation of memory safety through the CBMC automated reasoning tool. -
18
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. -
19
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. -
20
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. -
21
DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL) with domain-specific models: NoC; SW/HW co-design, Service-Oriented Computing, cancer biology, Dynamic Structure, SOA DEVS, MIPS32 processors, and computer networks for education. Version: 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 CoSMoSim: https://acims.asu.edu/software/cosmos : hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite model -
22
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. -
23
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. -
24
AWS IoT Jobs library
Client library for using AWS IoT Jobs service on embedded devices
The AWS IoT Jobs library helps you notify connected IoT devices of a pending Job. A Job can be used to manage your fleet of devices, update firmware and security certificates on your devices, or perform administrative tasks such as restarting devices and performing diagnostics. It interacts with the AWS IoT Jobs service using MQTT, a lightweight publish-subscribe protocol. This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The library is written in C compliant with ISO C90 and MISRA C:2012, and 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 both static code analysis from Coverity. -
25
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.
