We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs. Check out projects section.
awesome-iot - Awesome IoT
IoTSeeker This scanner will scan a network for specific types of IoT devices to detect if they are using the default, factory set credentials. nShield ★ 66 ⧗ 35 - An Easy and Simple Anti-DDoS solution for VPS,Dedicated Servers and IoT devices based on iptables.
iot iot-cloud iot-device azure-iot iot-platform iot-application awesome-iot awesome-listsod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
computer-vision library deep-learning image-processing object-detection cpu real-time convolutional-neural-networks recurrent-neural-networks face-detection facial-landmarks machine-learning-algorithms image-recognition image-analysis vision-framework embedded detection iot-device iotEclipse Hono - Remote service interfaces for connecting large numbers of IoT devices
Eclipse Hono provides uniform (remote) service interfaces for connecting large numbers of IoT devices to a (cloud) back end. It specifically supports scalable and secure data ingestion (telemetry data) as well as command & control type message exchange patterns and provides interfaces for provisioning & managing device identity and access control rules.
eclipseiot internet-of-things messaging rest-api iot iot-deviceBasecamp - An Arduino library to ease the use of the ESP32 in IoT projects
Basecamp - ESP32 library to simplify the basics of IoT projects Originally written by Merlin Schumacher (mls@ct.de) for c't magazin für computer technik Licensed under GPLv3. See LICENSE for details. Exhaustive documentation will provided in the next few weeks. An example can be found inside the example folder.
mqtt iot smarthome esp32 arduino-library iot-framework iot-deviceEdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency and energy. One example of a ubiquitous real-world application where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.
edge-devices iot-device sensor edge-machine-learning resource-constrained-ml machine-learning-algorithms microsoft-research machine-learning machine-learning-librarymanage-control-device-node-red - Create, connect and simulate devices with Watson Data Platform and Node-Red
Build an IoT project with a simualted device that sends events for data monitoring on Watson IoT Platform on IBM Cloud. This guide steps you through the process of connecting devices to Watson IoT Platform, monitoring and acting on device data.
bluemix iot-device iot-application iot-platform iot node-red simulation chart realtime ibmcodeiot-workshop - A complete IoT Workshop
This workshop will walk you through a few common IoT scenarios like basic user input (a button), output (an LED), a camera, a web service call (Microsoft Cognitive Services Vision API), and finally an IoT ingestion service (Azure IoT Hub). We'll use Node.js as the device language. When it's all finished and working, with the click of a button you'll be able to take a picture, figure out what objects are in the picture, and then record the result in a cloud service.
iot-device raspberry-pi cognitive-services camera azure internet-of-things iot nodejs azure-iothub raspi-ioline-things-starter - The sample codes for LINE Things Developer Trial
These are the sample codes for LINE Things Developer Trial. LINE Things compatible device example firmware and LIFF application code are included.
iot iot-device line line-thingsesp32 - Build your own toolchain to develop, test, build and finally deploy a Golang controller to your ESP32 device
Build your own toolchain to develop, test, build and finally deploy a Golang controller to your ESP32 device. The Arduino IDE is easy to use. But I faced problems like maintainability and testability at more complicated IoT projects. I needed to compile and flash the ESP32 before testing my code functionality by doing it 100% manually.
esp32 espressif iot iot-deviceqfactom - kdb+ wrapper library for interacting with the factom client (factomd) and wallet (factom-walletd) applications via the v2 REST APIs
qfactom is a kdb+ wrapper library designed to interact with the Factom blockchain via the factomd client (factomd) and wallet (factom-walletd) REST APIs. The library allows records, in the form of kdb+ tables, lists etc, to be easily secured on the Factom blockchain through the use of simple q function. Entries made to Factom chains can serve as a Proof of Existence, enabling cryptographically secure audit trails to be constructed. Data stored on existing Factom chains, like those used to hold Stock market prices, can also be easily extracted and coverted to kdb+ table format, see example. Combining the speed and scalability of kdb+, with the security and scalability of Factom, enables millions of records to be secured quickly and safely.
kdb factom factom-blockchain qfactom bitcoin anchoring immutability factoids bitcoin-blockchain kdb-library chain scalability iot iot-device securing factom-walletd factomd entrycreditsiot-device-trend-analysis - WARNING: This repository is no longer maintained :warning: This repository will not be updated
This repository will not be updated. The repository will be kept available in read-only mode. In this code pattern, we will setup and create a web application to visualize IoT device data and view trends and stats of device fields across days. The IoT industries are looking for ways to analyze the use of IoT devices, and would like better understand the usage of devices. This code pattern will demonstrate using IBM solutions to read and store IoT device data, and then build an application on top of it. The code pattern uses services offered on IBM Cloud such as IBM Watson IoT Platform and Cloudant DB, in addition to deploying the application to the IBM Cloud. Once setup, the application displays the time-series field data as plots, showing device data trends and statistical analysis.
ibmcode ibm-watson-iot watson-iot-platform iot-deviceembeddedinfralib - EmbeddedInfraLib is a set of C++ libraries and headers that provide heap-less, STL like, infrastructure for embedded software development
Description: EmbeddedInfraLib is a set of C++ libraries and headers that provide heap-less, STL like, infrastructure for embedded software development. EmIL can be built by-itself, for example to execute the included micro-tests, or it can be built as part of a larger project. This paragraph describes how to build EmIL by-itself.
embedded embedded-systems c-plus-plus cpp cpp11 infra infrastructure iot iot-device iot-firmwareiot-device-phone-simulator - A web application which acts as an IoT device when loaded in a smart phone browser
This web application once published to IBM Cloud and opened on a smart phone browser acts as an IoT device to publish accelerometer and Gyroscope data to Cloudant NoSQL database. See License.txt for license information.
iot data-science cloud machine-learning mobile-web iot-device gyroscope-data internet-of-things anomaly-detection datascienceBasecamp - An Arduino library to ease the use of the ESP32 in IoT projects
Basecamp - ESP32 library to simplify the basics of IoT projects Originally written by Merlin Schumacher (mls@ct.de) for c't magazin für computer technik Licensed under GPLv3. See LICENSE for details. Exhaustive documentation will provided in the next few weeks. An example can be found inside the example folder.
esp32 iot iot-framework iot-device arduino-library smarthome mqttMagic-Leap-Gesture-IoT-Example - Control lights in the physical world from the augmented world using hand gestures
Imagine a world where you walk in a smart home, look at a smart light in the room, make a gesture with your hands, and the light turns off or on. Swipe with a hand to change the channel on your TV. Glance at a thermostat and speak your preferred temperature aloud. This isn't the future. This is all possible now with the Magic Leap One and PubNub. This project demonstrates how to control an RGB LED or a power strip with an Arduino using Magic Leap Gestures and PubNub. Learn more about how to build your own smart home with Magic Leap and PubNub from the tutorial.
iot arduino tutorial unity augmented-reality virtual-reality pubnub publish-subscribe rgb-led arduino-sketch gesture-recognition iot-device iot-application magicleap magic-leap magicleaponeMLEdgeDeploy - Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
For IoT devices, processing signals on the same layer that they are collected on is desirable because it lessens network dependency and output latency. Achieving this effect with deterministic types of processing is fairly straightforward, as it is simply a matter of running the formerly network-accessible program on the local hardware. For non-deterministic types of programs, such as those enabled by modern machine learning techniques, there are a few more considerations. Requisite to these techniques is a training process that is both data heavy and compute intensive. This is a significant constraint to consider because most IoT hardware is purpose built for collecting and relaying signals, and, therefore, woefully ill-equipped to handle the intensive training process by which these systems "learn". Once trained, however, such programs shed their dependency on high-end hardware and run perfectly well on minimally equipped systems.
iot ios machine-learning iot-device over-the-air edge-devices coreml edge-processingiot-java-sdk - Appdynamics IoT Java SDK to monitor performance of embedded applications on connected devices
This repository contains the AppDynamics IoT Java SDK that can be used in embedded applications to monitor network perfomance, errors, and business metrics. The best way to understand how to use the SDK is to run the sample application.
iot performance smart-tv performance-monitoring embedded-devices set-top-box iot-gateway smart-cities connected-car iot-cloud iot-device connected-home edge-computing connected-factorylib-python - Blynk IoT library for Python and Micropython
This library provides API to connect IoT hardware that supports Micropython/Python to Blynk Cloud and communiate with Blynk apps (iOS and Android). You can send raw and processed sensor data and remotely control anything that is connected to your hardware (relays, motors, servos) from anywhere in the world. With Blynk Library you can connect over 400 hardware models (including ESP8266, ESP32, NodeMCU, all Arduinos, Raspberry Pi, Particle, Texas Instruments, etc.)to the Blynk Cloud. Full list of supported hardware can be found here.
raspberry-pi iot esp8266 library microcontroller embedded hardware micropython esp32 iot-platform mcu blynk raspberry-pi-3 iot-cloud iot-device iot-application
We have large collection of open source products. Follow the tags from
Tag Cloud >>
Open source products are scattered around the web. Please provide information
about the open source projects you own / you use.
Add Projects.
