IoT has grown in popularity throughout the technical and digital world. The concept of intelligent interrelated devices and customer electronics that operate autonomously has grown since the end of the 20th century.
IoT technology has developed in a far-reaching system of middleware between user applications and tools. The billions of global IoT projects in industries, such as manufacturing, medicine, agriculture, business and lifestyle, speak to the widespread prevalence of IoT.
Many organizations use open source solutions to build their IoT deployments; however, they are not the same as free software, even though the terms are sometimes used interchangeably. Open-source software (OSS) can either come at no cost or have a considerably costly price tag. The difference rests in the open nature of the software development program, which allows software engineers to easily adapt to the programming system.
Some organizations create IoT deployments from scratch, while others prefer to build out with open-source platforms. Many businesses research out-of-the-box open-source programs while attempting to build the best IoT framework for analytics and interoperability within their deployments.
7 open source IoT frameworks options
Organizations must figure out which open source platforms will work best for their IoT deployments.
OpenRemote is a middleware platform that integrates many different protocols and concentrates on house automation, asset control, smart city industrialization, smart building and healthcare. The platform translates data sources, whether they use generic or specialized IoT protocols. Applications designed with OpenRemote work on Android, iOS and web browsers. Development teams can also manage or configure OpenRemote without the vendor lock-in.
An example use case of OpenRemote is a crowd management system that combines data from sensors that to monitor and control the sound levels and predict, parking system, video surveillance and street lighting. An application dashboard with data visualization software aggregates data from devices, sensors and subsystems controlled via a local hub and combines them to observe crowd management statistics.
2. Device Hive
The DeviceHive IoT-based application development platform, is a machine-to-machine interaction framework that implements IoT tools for device data and control. It offers a cloud-based API that enables remote control while eliminating the need for additional network configuration. Device Hive comes with online support, such as management protocols, books and gateways to help organizations customize and integrate their solutions. DeviceHive focuses on fields of application including security, industrial mechanization and intelligent home technology.
3. The Thing System
The Thing System is a group of software elements and network protocols that connect smart home devices together to give users more centralized control over their devices, such as smart lighting, Nest thermostats, air conditioners, Apple TVs and other IoT-based devices.
4. Distributed Services Architecture
DSA takes information collected by devices, services and applications and feeds it into a real-time model and library of distributed service links that translate protocols and integrate data. The DSA system facilitates interaction between machines and sets up a network to share functionality between discrete computing operations.
The open source platform DeviceHub.net offers cloud management for connecting and monitoring devices. The platform provides visualization and analytics of data in real-time. Organizations can use DeviceHub for IoT deployments in wellness care monitoring, asset tracking, and collecting telemetry data.
Supported by Cybervision, the Kaa open source offering implement end-to-end device maintenance. System software developers can use the multipurpose middleware to build IoT solutions, associated apps and products. This open source platform offers advantages in its simple set up, with customizations that can be applied to the platform quickly.
The open-source kit is defined as device-agnostic, so it can interface with just about any device, sensors and gateways. It could establish cross-device interoperability, analyze user behavior, and update firmware.
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