While IoT is still a buzzword to a lot of people, IoT frameworks just take the complexity up a notch. However, we’re here to simplify things. Before we dive into what some of the open-source IoT frameworks are, let’s comprehend what it means.
Like you know, the Internet of Things is not a single element. It’s an ecosystem – an infrastructure of connected devices communicating with each other over the internet. When massive data generation and transmission across diverse devices, there has to be one place where everything is collated. This collation is essential to make sense out of the data generated.
This is where IoT frameworks come in. In simpler words, IoT frameworks are the components that make data transmission seamless.
The fundamental components of IoT frameworks include:
Includes sensors, controllers, micro-controllers, and other hardware devices.
Involves written applications to configure controllers and operate them from the remote and do more.
An inevitable part of IoT over which all communications happen.
Written applications that bind local hardware devices and cloud-based devices.
Kaa IoT is one the most efficient and rich open-source Internet of Things cloud platforms where anyone has a free way to materialize their smart product concepts. On this platform, you can manage an unlimited number of connected devices with cross-device interoperability.
You can achieve real-time device monitoring with the possibility of remote device provisioning and configuration. It is one of the most flexible IoT platforms for your business which is fast, scalable, and modern.
This platform able to develop and deploy device software for automotive telematics and V2X, building and home automation, industrial edge computing and IoT gateways, smart sensors, or energy management systems.
Zetta is a server-oriented platform that has been built around NodeJS, REST, and a flow-based reactive programming development philosophy linked with the Siren hypermedia APIs. They are connected with cloud services after being abstracted as REST APIs.
These cloud services include visualization tools and support for machine analytics tools like Splunk. It creates a zero-distributed network by connecting endpoints such as Linux and Arduino hacker boards with platforms such as Heroku.
GE’s platform as a service software for industrial IoT is based on the concept of cloud foundry. It adds asset management, device security, and real-time, predictive analytics that also supports heterogeneous data acquisition, access, and storage.
GE predix was developed by GE for its own operations and consequently has become one of the most successful of the enterprise IoT platforms and with the recent partnering of GE and HPE, the future looks even better.
ThingSpeak is another IoT platform that lets you analyze and visualize the data in MATLAB and eliminates the need to buy a license for the same. It helps you to collect and store sensor data in private channels while giving you the freedom to share them in public channels.
It works with Arduino, particle photon and electron, and many more applications. It is used mostly for sensor logging, location tracking, and alerts and analysis. It also has a worldwide community which is quite helpful in itself.
DeviceHive is yet another feature-rich open-source IoT platform that is currently distributed under the Apache 2.0 license and is free to use and change. It provides Docker and Kubernetes deployment options and can be downloaded and use with both public and private cloud.
It allows you to run batch analytics and machine learning on top of your device data and more. Various libraries, including Android and iOS libraries, are supported in DeviceHive.
DSA is an open-source IoT that unifies the separate devices, services, and applications in the structured and real-time data model and facilitates decentralized device inter-communication, logic, and applications.
Distributed service links is a community library that allows protocol translation and data integration to and from 3rd part data sources. All these modules are lightweight making them more flexible in use. It implements DSA query DSL and has inbuilt hardware integration support.
Eclipse IoT platform is built around the java/OSGi-based Kura API container and aggregation platform for M2M applications running on service gateways. Kura is a framework based on Eurotech’s everywhere cloud IoT framework and is often integrated with the Apache Camel.
Some of its major sub-projects include the PAho messaging protocol framework and the Eclipse SmartHome framework.
Open Connectivity Foundation platform is an amalgamation of the intel and Samsung backed open interconnect consortium organization and the UPnP forum which is working hard to become the leading open-source standard group for IoT and its OCF IoTivity depends on RESTful, JSON and CoAp.
OIC was created in July 2014. The first version of OCF 1.0 was released in September 2015 for the core framework, smart home device, resource type, security, and remote access capabilities
OpenHAB IoT framework is capable of running on any device that is capable of running a JVM. All the IoT technologies are abstracted by the modular stack into “items”, and offer rules, scripts, and supports for persistence—the ability to retain device states for a period of time.
It offers a variety of web-based UIs and is supported by major Linux hacker boards. It is deployed on-premise and connects to devices and services from different vendors.
So, these were the top 10 open-source IoT frameworks. By now, we are sure you have a clear understanding of what IoT frameworks are, the different frameworks available in the market, their pros and cons, and their applications to projects. If these feel daunting to you, we recommend getting in touch with an IoT development company like us.
We are a specialist IoT services provider, have been working on a few IoT platforms, and have set up a completely new, highly motivated team of IoT engineers who passionately want to be part of the next-generation technology! Feel free to share your inputs about this article in the comments section.
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