The IoT is the Internet of Things. This means that you are making all possible objects around you smart. Stick a controller or processor to it, connect it to the internet, monitor, and control it remotely. It’s super awesome actually. This article is about the IoT framework and a list of open-source IoT framework.
A framework provides the implementation of the basic infrastructure and a standard way to implement these services. Executives and Services provide a fast way to deliver IoT products.
Explain IoT Framework
The IoT framework includes the capabilities to support the cloud and all the other needs that IoT technology has to meet.
For example, any IoT system will need cloud services, security for data stored in the cloud, supporting protocols, edge devices such as gateways, and supporting software. Amazon Web Services, Microsoft Azure are cloud capacity service providers.
The IoT framework reduces the time it takes to create products that are generally Internet-enabled, speeding up the development cycle. Which in turn shortens product deployment time and helps drive innovation.
For developers, an IoT platform provides a set of out-of-the-box features that dramatically speed up app development for connected devices and ensure cross-device compatibility.
Big data analytics and the cloud-based on IoT, sensors, edge processing, and smart gateways, as well as real-time synergy between disparate systems, offers plenty of opportunities to make everything ‘smart’ around us.
Also Read: Internet Of Things Examples
Four Basic Components of IoT Framework:
Device Hardware – Requires an idea of the architecture and operation of various microcontrollers as well as various sensors.
Device Software – Requires knowledge of how the API works in microcontrollers and how you can create libraries for programming.
Communication and Cloud Platform – Requires the basics of wired and wireless communication. The cloud itself is an indispensable part of IoT and requires knowledge of how cloud technology works and its IoT integration.
Cloud Application – This is a software program in which local and cloud-based components work together for faster and easier accessibility. It serves to improve our ability to use the system to its fullest potential.
22 Best Open Source IoT Framework
Arduino is an open-source physical computing platform based on a simple microcontroller board, easy-to-use hardware and software, and a development environment for writing software for the board.
There are a variety of development boards for different microcontrollers and microprocessors, but many of them are so expensive that even professionals think twice before using such boards.
From a small personal project to a start-up product, Arduino meets many needs and is very pleasant to program!
Arduino is a great platform for engineers/students/hobbyists. You can develop projects quickly without worrying about the inner workings of the microcontroller.
Arduino IDE consists of many built-in libraries that get your job done quickly. If you are interested in working with electronic products but don’t want to worry about programming microcontrollers, Arduino is what you want.
Arduino programs are very simple and can be understood by people with very little programming knowledge.
The RTI Connext Data Bus is a software IoT framework that shares information in real-time. Allowing applications to work together as a single integrated system.
Connext DDS is specially designed for intelligent machines and their associated cyber-physical systems. Unlike messaging middleware designed primarily for computer systems.
Connext DDS does not require messaging agents, directory services, servers, or management. The basic communication infrastructure is completely included in the libraries linked to your applications.
ThingSpeak is an Internet of Things (IoT) framework that allows you to collect and store data in a cloud and develop IoT applications.
The ThingSpeak framework allows users to not only analyze but also visualize data in MATLAB. The fact that this special open-source IoT framework does this eliminates the need for the user to purchase a license to perform such services.
The most common uses of the ThingSpeak open-source framework are for providing alerts, tracking specific locations, and logging sensors.
Your device or application can communicate with ThingSpeak through the RESTful API, and you can either keep your information private or make it public.
It is an open-source platform for users and very popular among IoT experimenters. The main purpose of this application is to collect data from sensors and retrieve them whenever the user wishes.
The ThingWorx model-driven development environment enables companies to do just that: innovators to rapidly create and develop IoT applications. Connected solutions for the Internet of Things, no matter where the data resides.
ThingWorx today announced its open platform strategy, with pre-engineered integrations for major cloud platforms, starting with AWS IoT, Azure IoT Hub.
The real value of IoT for businesses is contained in the data. Each connected device can potentially generate millions of data points every day, but much of this data remains completely unused. Collecting and making sense of IoT data is not a simple task.
ThingWorx also enables interoperability with third-party systems and diverse data streams. Essential for continued success in the complex and ever-changing IoT landscape.
ThingWorx is the purpose-built IoT platform that enables the rapid creation of comprehensive applications for the smart and connected world.
Node-Red open source is developed around Node.js. It is designed for the IoT project mainly used in Raspberry Pi. It can run on 60,000 other different modules.
This open-source IoT framework generally does the wiring in a new and unique way compared to other open-source frameworks. You just need to drag and drop to write logic instead of code-based programs.
The open-source Node-Red works as a visual tool that works to link all connected hardware devices, services, as well as APIs.
Since you only need to enter credentials and not write any codes. It is easy for almost anyone to create IoT projects using it.
6. GE Predix
The GE PREDIX open-source framework is part of the larger industrial IoT ecosystem. So, partner applications and services continue the suggestions you may see in a variety of aerospace, energy, healthcare, and manufacturing industrial applications for their specific offerings, including smart cities, GIS systems, workflow management, and so on.
This open-source IoT framework was developed for GE’s internal operations and has now become one of the most popular and successful IoT platforms.
GE PREDIX open source allows the user to manage resources efficiently, ensure the security and real-time connectivity of connected devices, and facilitate the acquisition, storage, and use of large data collections.
It works by obtaining information from the machines about the time that measures the performance of the machine. And with any variation of the information, it notifies the user of machine downtime, which helps to achieve optimized and maximum performance.
7. KAA IoT
Kaa IoT is one of the most powerful and richest open-source Internet cloud platforms. Where anyone has a free way to implement their intelligent product concepts.
It has an Apache 2.0 license that is 100% open source.
The platform has been developed specifically for construction. An unlimited number of devices can be managed through device-to-device interoperability and integrated device integration, and even by configuring them remotely or from controllers to the cloud, providing opportunities for large-scale IoT-scale product development.
The KAA IoT cloud platform is not only known for its efficient open source IoT framework but is also one of the most flexible open-source solutions. It allows data exchange between connected devices and other parts of the IoT frame.
In short, Kaa acts as a middle layer in solutions that improve the efficiency of business processes by automatically collecting, processing, or analyzing data from hundreds of thousands of IoT endpoints. Thanks to the flexibility of the technology. This IoT platform can connect to many types of databases, enterprise software, or devices.
8. AWS IoT
AWS IoT (Amazon Internet of Things) is an Amazon Web Services platform that collects and analyzes data from devices and sensors connected to the Internet and connects that data to AWS cloud applications.
The AWS IoT can collect data from billions of devices and connect it to endpoints for other AWS tools and services, allowing a developer to tie that data into an application.
They provide an SDK that allows you to write applications that connect devices to data hosting and write applications that can use the data for workflow and analysis.
The AWS IoT supports HTTP, MQTT, and WebSocket communication protocols between connected devices and cloud applications through Device Gateway, which provides secure two-way communication while minimizing latency.
The Device Gateway adapts automatically, eliminating the need for a company to provision and manage servers for a pub/sub messaging system, allowing clients to publish and receive messages from each other.
MACCHINA.io open source can be used to support a variety of sensors as well as interface technologies.
A good example of using the open-source MACCHINA.io IoT framework is the construction of smart homes and home automation systems.
In the construction of smart homes, this open-source code is used for the development and deployment of smart sensor firmware and other automotive themes.
Macchina.io is an open-source software toolkit for the fast construction of embedded IoT applications running on Linux-based IoT gateways and devices such as Raspberry Pi, RED Brick, or Galileo / Edison.
Mainflux is a modern, scalable, secure, open-source IoT framework written in the programming language. Go is a highly concurrent language that supports a huge number of concurrent connections.
It accepts connections with multiple network protocols (i.e. HTTP, MQTT, WebSocket) and thus forms a seamless bridge between them.
Mainflux has a wealth of useful tools for data collection and management, core analytics, and event scheduling.
Mainflux can be deployed on-site, as a hybrid, or as a cloud-based model. Prices can range from completely free installation facilities and support plans to fully managed enterprise and customized versions.
Thinger.io is an open source IoT platform for IoT cloud projects.
Free IoT Platform: Thinger.io offers a lifetime free account with few restrictions on learning and starting prototypes when your product is ready to scale. You can deploy a Premium server with full capacity in minutes.
The Open Connectivity Foundation is a combination of an open consortium organization supported by Intel and Samsung and a UPnP platform that is working hard to get a leading IoT open-source standards group and its OCF IoTivity depends on RESTful, JSON, and CoAp.
To achieve this goal, OCF seeks to establish specifications for interoperability between all connected devices.
It has also launched the IoTivity project – an open-source software framework designed to enable connectivity to the emerging needs of the IoT by providing a benchmarking implementation of the IoT interoperability specifications.
OCF membership includes companies from different markets, such as automotive, consumer electronics, enterprise, healthcare, industry, wearable accessories, etc.
13. IBM Bluemix
What is IBM BlueMix?
It allows organizations and developers to quickly and easily create, deploy, and manage applications in the cloud.
Bluemix provides enterprise-class services that can be easily integrated into your cloud applications without you having to know how to install or configure them.
This article gives a high-level description of Cloud Foundry and Bluemix, as well as outlines the features and services that were part of Bluemix’s open beta, making it attractive to the PaaS market today.
Bluemix is a special implementation by IBM that allows users to use an open cloud architecture.
Its main idea of deploying Bluemix is to reduce the time and money spent using and investing in the system. It is very flexible and reduces overall costs.
The benefits of IBM BlueMix are:
- It quickly builds cloud applications.
- It facilitates cloud deployment.
- Quickly build web applications, mobile applications, and IoT applications
- Enables integration of all services to create applications quickly.
- Focus on the core logic of building the application, redistribute everything to reuse the services available through Bluemix.
Zetta is an open-source IoT framework into which we can build APIs for device interaction.
It basically serves a continuous streaming load of data. The frame is built for Node.js. People who are familiar with Node.js can easily start using Zetta, but beginners need a basic knowledge of Node.js.
Creating HTTP APIs for devices is considered a complete toolkit. Zetta combines REST APIs, WebSockets, to make a lot of data and real-time applications. Here are some notable features.
Zetta is useful in creating Internet servers for objects that can cross a huge geographic distribution and also across the cloud.
Basically, it is a tool that helps to create APIs that allow us to communicate between devices.
The OpenHAB IoT framework is able to run on any device capable of running a JVM.
All IoT technologies are summed up by the modular stack into ‘building blocks’, and offer rules, scripts, and support for persistence – the ability to maintain device states for a period of time.
It is a platform for integrating different home automation systems and technologies into one solution.
New devices and protocols can be easily added. This connectivity also extends to the persistence layer, so your system can maintain status information on the platform of your choice.
OpenHAB, one of the strongest players in the open-source community. With nearly half a million posts on its forums and 33,000 members, openHAB is constantly improving its original offering.
The platform can integrate with more than 1,500 devices such as Sony, Pioneer, LG, Samsung, and more.
OpenHAB is free (even commercial) software that can be downloaded locally from any operating system.
The DeviceHive is an open-source IoT framework currently distributed under the Apache 2.0 license that can be used and modified for free.
The DeviceHive helps connect devices to the cloud in minutes, allowing device information to be streamed and commands sent.
DeviceHive, the DataArt offering, is scalable using containers, allowing the user to run a standalone repository for experiments, then add permanent relational storage to device and user metadata using PostgreSQL, and then expand by adding Kafka and ZooKeeper and finally connecting to Apache Spark – analytics Apache Kafkaan.
It also provides ways to analyze and influence data using a variety of open-source tools such as Apache Spark, Cassandra, Juju, and Ubuntu Snappy.
Distributed Services Architecture (DSA), is an open-source IoT framework that facilitates device inter-communication, logic, services, and applications at every layer of the Internet of Things infrastructure and real-time data model.
Verizon ThingSpace, whose goal is to simplify the development and deployment of Internet of Things (IoT) applications. Applications that analyze IoT data.
ThingSpace developers can use APIs and hardware that come with development kits that take actual IoT measurements and collect data for transfer to the analytics platform.
The Flutter is one of the hottest topics in the field of mobile application development lately, and it is gaining popularity among individuals and organizations, mainly start-ups.
The Flutter is an open-source mobile application development SDK used to develop mobile applications for Android and iOS devices.
Dart is a programming language used by the Flutter platform that is gaining popularity and acceptance due to its impressive features and Flutter’s growing reputation and may overtake the current languages used for this purpose.
Whatever your smart device needs and interface, so we build DART and Flutter apps to control mobile apps with lights, fans, and other things connected to the IoT device.
The Eclipse IoT initiative is designed to showcase how open source software, open standards, and commercial solutions can be used to create true, industry-specific Internet of Things solutions.
The Eclipse IoT platform is built around the Java / OSGi-based Kura API container.
Eclipse IoT simplifies the development of the Internet of Things by providing implementations of open source standards, services, and frameworks that enable the Open Internet of Things.
IoTivity provides a common IoT framework for all sectors, particularly industrial and automotive and system security. This is possible by establishing new communication protocols for connectivity across multiple modes of transport.
IoTivity provides seamless device-to-device connectivity where billions of Internet of Things (IoT) devices can securely connect to each other and the Internet.
The AllJoyn is one of the standards of the coming revolution, known as the Internet of Things.
The AllJoyn is an open-source software framework originally developed by Qualcomm and marketed by the AllSeen Alliance as a means for IoT devices to discover and communicate with each other.
It is designed to allow a single application or service to interact with multiple IoT devices, such as lights, heating systems, surveillance cameras, and wearables.
Python IoT Framework
The Python programming language is the most recommended for data analysis in an IoT framework. It is a very simple language that is easy to learn and easy to implement and deploy.
Huge support from the developer community.
It’s portable, extensible, and embeddable, so it supports most single-card computers, regardless of operating system and architecture.
Python is the right choice. Python is the language of choice for the Raspberry Pi, one of the most popular microcontrollers on the market.
The Python IoT framework has a large number of open-source libraries available and the ability to do more with less lines of code that it can do with a lot of code.
Therefore, if you are working with data-intensive applications, you should use the python IoT Framework.
Also Read: HTTP Protocol (Hypertext Transfer Protocol)