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In this article, the editor introduces in detail "what are the open source platforms and tools of the Internet of things". The content is detailed, the steps are clear, and the details are handled properly. I hope this article "what are the open source platforms and tools of the Internet of things" can help you solve your doubts. Let's follow the editor's ideas to learn new knowledge.

1.Zetta

Zetta is a Node.js-based Internet of things platform using API. It is a complete toolkit for making HTTP API for devices. Zetta combines REST API and WebSockets to create data-intensive real-time applications. Here are some noteworthy features.

It can run on cloud, PC or other suitable development boards.

Simple interface and necessary programming to control sensors, actuators and controllers.

Allows developers to assemble smartphone applications, device applications, and cloud applications.

It is developed for data-intensive and real-time applications.

2.Arduino

Arduino provides an appropriate combination of IoT hardware and software and is an easy-to-use IoT platform. It operates through a series of hardware specifications that can be provided to interactive electronic devices. Arduino's software is included in the Arduino programming language and the integrated development environment (IDE).

3.Node-RED

Node-RED is a visualization tool for the Internet of things, that is, connecting hardware devices, API and online services in new ways. It provides developers with a way to connect devices, services and API using a browser-based stream editor. It can run on Raspberry Pi and can access 60000 modules to increase its functionality.

4.Flutter

Flutter is a programmable processor core for electronic projects, designed for students and engineers. Flutter's Arduino-based development board includes a wireless transmitter that can display distances of more than half a mile. In addition, you don't need a router; Fluter boards can interact with each other quickly. It consists of 256bit AES encryption and is easy to use.

5.M2MLabs Mainspring

M2MLabs Mainspring is a framework for developing machine-to-machine (M2M) applications, such as remote control, fleet management or intelligent terminals. Its functions include flexible design of equipment, device structure, connection between machine and application, data verification and standardization, long-term data repository and data retrieval function.

It is based on Java and Apache Cassandra NoSQL databases. M2M applications can be modeled in hours rather than weeks and then passed to a standard J2EE server and a highly scalable Apache Cassandra database for a high-performance execution environment.

6.ThingsBoard

ThingsBoard is used for data collection, processing, visualization and device management. It supports all standard Internet of things protocols, such as CoAP,MQTT and HTTP, as fast as cloud and on-premises deployment. It builds workflows based on design lifecycle events, REST API events, and RPC requests. Let's take a look at some ThigsBoard features.

A stable platform that combines scalability, productivity and fault tolerance.

Easily control all connected devices in an extremely secure system

Convert and normalize device input for all telemetry events, recovery and inactivity generated alerts.

Use customizable rule groups to enable usage state-specific features.

Handle millions of devices at the same time.

Multi-tenant installation is ready to use.

Thirty highly customized dashboard widgets that can successfully access users.

7.Kinoma

Kinoma is the hardware prototyping platform for Marvell, involving three different open source projects. Kimona Create is a DIY build suite for prototyping electronic devices. Kimona Studio is a development environment that can be used with Setup and Kinoma Platform Runtime. Kimona Connect is a free iOS and Android application that connects smartphones to Internet of things devices.

8.Kaa

Kaa is a production-ready, flexible, multi-functional middleware platform for building end-to-end IoT solutions that connect applications and smart devices. It provides a comprehensive method for performing effective communication, processing and interoperability functions on connected intelligent devices.

It has been installed from small startups to large enterprises and has an advanced deployment model for multi-cloud Internet of things solutions. It is mainly based on flexible micro-services and can meet almost any needs and applications. Some other features are shown below.

Promote interoperability across devices.

Perform real-time device control, remote device configuration and structure.

Create cloud services for smart products

Consists of a topic-based warning system to provide end users with messages in any predefined format to subscribe endpoints.

Perform real-time device monitoring

Manage an unlimited number of connected Devic

Collect and analyze sensor data

9.SiteWhere

The SiteWhere platform provides device input uptake, storage, processing and assimilation. It runs on Apache Tomcat and provides highly tuned MongoDB and HBase implementations. You can deploy SiteWhere to cloud platforms such as AWS,Azure,GCP or local. It also supports Kubernetes cluster configuration.

10.DSA

Distributed Service Architecture (DSA) is used to implement communication, logic and work between devices in every aspect of the IoT infrastructure. It allows devices to collaborate in a distributed manner and to establish network engineers to share functions between discrete computing systems.

11.Thinger.io

Thinger.io provides a scalable cloud foundation for connecting devices. You can process them quickly by running the administrative console, or you can use their REST API to combine them into project logic. It supports Raspberry Pi,Intel Edison,ESP8266. Thinger can be integrated with IFTT and provide real-time data on beautiful dashboards.

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