Browse free open source IoT software and projects below. Use the toggles on the left to filter open source IoT software by OS, license, language, programming language, and project status.
Version 2 of the myFocuser Project
Powerful cross-platform MQTT 5.0 desktop, CLI, and WebSocket client
Scalable, optimized, secure RTOS for multiple hardware architectures
Platform operating system designed for the Internet of Things
Broadlink Manager is a very simple way to work with broadlink rm
Next generation AWS IoT Client SDK for C++ using AWS Common Runtime
High performance .NET library for MQTT based communication
ASCOM-INDI ESP32 Wifi focuser
IoT firmware development framework
Device management, data collection, processing and visualization
A cross platform debugger for serial port/Bluetooth/TCP/UDP
ESP32 mySQM+ Sky-Meter/Weather Station with loads of features
Client library for using AWS IoT Defender service on embedded devices
PyRPL turns your Red Pitaya into a powerful analog feedback device.
SCADA HMI for substations, IoT and automation applications
Client library for using AWS IoT Shadow service on embedded devices
Client library for using AWS IoT Fleet Provisioning service
Client library for using AWS IoT Jobs service on embedded devices
MAX! cube GUI
AWS IoT FleetWise Edge Agent
Flash OS images to sdcards and usb drives
The Most Scalable MQTT Broker for IoT
Golang framework for robotics, drones, and the Internet of Things
Arduino IDE sketch for ESP8266 modules
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Open source IoT software is software that can be used to build, deploy, and manage internet-connected devices. It can be used in a variety of applications such as home automation, wearables, commercial building controls, and medical device management. Open source IoT software provides users with the ability to customize their solutions and control how their data is gathered and managed.
Open source software makes it possible for developers to create custom IoT solutions without having to rely on third-party vendors. This helps reduce costs and ensures that any changes or updates made are done quickly and efficiently. Furthermore, by using open source platforms for development, companies don't have to worry about compatibility issues or limited customization options with proprietary products.
The components of an open source IoT system typically include a gateway device which acts as the central controller for connected sensors or actuators; a protocol stack which provides connectivity between devices; visualization dashboards for tracking activity; intelligence (or AI) layers which enable automated responses; notification systems for alerting users when something goes wrong; analytics tools for monitoring performance; and cloud integration capabilities which allow the data collected by sensors to be stored in a secure central repository.
One of the primary advantages of open source IoT systems is its flexibility. By allowing users to customize their solutions as needed, they can tailor them exactly to fit their needs without worrying about being limited by pre-existing solutions provided by vendors or manufacturers. Additionally, since many open source projects are supported by large communities of enthusiasts worldwide, it's easy to find support should you run into issues while developing your solution – making the process much smoother than if you were relying entirely on your own resources.
Finally, security is another huge benefit offered by open source software — since everyone has access to the code powering these systems it’s much easier to spot potential vulnerabilities before they become exploited in production environments. And since all updates made by contributors are made public too it’s simpler than ever before for security professionals around the world to stay up-to-date on best practices related to securing networks containing connected devices
Open source IoT software can be entirely free, depending on the type and scope of the project. If you're just looking to get up and running quickly, you may want to explore free open source solutions that are available online, such as Node-RED or ESPurna. These solutions allow developers to quickly set up their own network of sensors and controllers, giving them access to a range of different programming languages and frameworks. They also offer pre-built applications that can help users understand how to build simple IoT networks with minimal effort.
For more complex projects, however, you may need to invest in a premium version of an open source IoT platform such as DeviceHive or KaaIoT. These platforms provide access to powerful tools for creating custom connected devices, including support for analytics and machine learning capabilities. The cost for these services will vary depending on the features required for your project, but typically range from around $50-200/month for an entry level package. If your needs are more sophisticated or require scalability across multiple devices and locations, then the cost could easily scale into thousands of dollars per month.
When selecting an open-source IoT solution, it's important to consider not just the price tag but also the support options available should any issues arise during development or deployment. Some providers may offer basic setup assistance as part of their packages but if technical guidance is needed beyond this then additional fees may apply. It's also worth researching into community forums related to your chosen solution in order to see if there are any active user groups dealing with topics related to your project - they might be able to provide valuable tips and advice that eliminates the need for paid support altogether.
Software that can integrate with open source IoT software includes collaboration and communication platforms such as chat and video conferencing apps, databases, cloud storage solutions, analytics packages, development tools like compilers and IDEs (Integrated Development Environments), and operating systems like Linux. All of these types of software can be used to supplement the existing open source IoT software in order to improve its performance or expand its capabilities. For example, a messaging platform could help facilitate communication between connected devices on a network while an analytics package could provide insight into patterns within the collected data. Additionally, a compiler or IDE could be used to develop new applications that work with the existing open source IoT software while a cloud storage solution could help provide scalability for large amounts of data.
Getting started with open source IoT software is relatively simple.
First, you'll need to decide on the type of project you want to create. This will determine which software package is best suited to your needs. Once you have made a decision, the next step is to download and install the open source software package onto your device or system. Then, configure the settings and connect it to any external devices or sensors that you may be using for your project.
Once everything is connected and ready, you can start coding. Depending on the complexity of your project, this could involve writing scripts in languages such as Python or C++. You might also need to write HTML or Java code for web-based applications. Additionally, many packages come with their own tutorials and documentations that can guide you through building the system from scratch. It’s important to read them carefully before starting so that you understand how each part of the system works together.
Finally, when all of your coding is complete and tested thoroughly, it’s time to deploy your solution into production mode. By doing this, anyone who has access to your IoT application will be able to use it in real-time – just make sure that any security measures are properly configured beforehand. With all these steps done, you'll have successfully launched an open source IoT solution.