Open Source Java IoT Software
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Java IoT Software
View 265 business solutionsBrowse free open source Java IoT Software and projects below. Use the toggles on the left to filter open source Java IoT Software by OS, license, language, programming language, and project status.
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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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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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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. -
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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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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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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 -
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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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CoSMoSim
Visual & persistent families of models for CA, DEVS, and Statecharts
CoSMoSim offers an integrated framework for model development, simulation, & experimentation. Its unified logical, visual, and persistence framework supports specifying families of parallel CA, DEVS, Statecharts, and XML-Schema models (see DEVS-Suite simulator). -
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Control logic
Realtime PC-based control and simulator of control systems
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. -
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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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NiagaraAxIOT
A library of IoT connectors for the Niagara Ax Platform
Simple connectors to multiple IoT service providers for the Niagara Ax framework. Service connectors include: Carriots Ducksboard (discontinued by vendor) EmonCms Exosite Sen.se Tempodb Thingspeak Xively -
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SiteWhere
An industrial strength open-source application platform for the IoT
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. -
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ThingsBoard Message Queue (TBMQ)
Open-source, scalable, and fault-tolerant MQTT broker
TBMQ is a lightweight message broker built to support ThingsBoard's IoT platform, focusing on telemetry data streaming and device communication. It uses Kafka-compatible APIs and is optimized for high-throughput messaging, device scalability, and low-latency delivery. TBMQ is ideal for IoT backends needing MQTT or Kafka-style pub/sub infrastructure. -
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VelisphereClientSDK
Client SDK for the VeliSphere IoT System
This is the Java client SDK for the Velisphere Internet of Things Cloud System. It provides tools and libraries to develop clients that connect as devices or services (with sensors, actors and other configurable function) to Velisphere, where you can connect them with other devices based on an easy to build rules-system, analyze data, locate devices, remote manage them, store binary data in a "dropbox for things", etc. Currently the SDK is available to connect to Velisphere via the AMQP message queuing protocoll, releases for MQTT and ReST will follow. This is still work in progress and will continue to evolve over time. To create your own account for free, go to http://www.velisphere.com -
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WIP – Wzzard Integration Platform – relying on fog computing paradigm offers the possibility to integrate the IOT and IT world in Enterprise enviroment. Advantech B+B Wzzard is a wireless connectivity hardware platform for sensors of different nature. It's easy to implement and scalable and it's being realized with industrial standard so it offers high availability and can be used in remote and hostile environments. The WIP is a Web Project developed by IT Distribuizione that adds computing capabilities to the wzzard in order to face the needs of IoT customers.
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smartIDS
Lightweight intrusion detection for IoT and embedded devices.
The aim of the project is a lightweight intrusion detection library for embedded devices which supports MSP430 and ARM Cortex based devices. Features include DSP/SIMD support, IoT and embedded protocols, distributed operation, event and history management, tool supported configuration and visualization. There is a Java port that supports less features. -
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xenqtt
Java MQTT client API and applications
A library that includes a Java MQTT client API that can be used in both synchronous and asynchronous applications. The library also includes various MQTT applications including a proxy that allows a server cluster to be load balanced as a single MQTT client; an HTTP <-> MQTT gateway; a mock MQTT broker; etc
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