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Showing 25 open source projects for "development"
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Gobot
Golang framework for robotics, drones, and the Internet of Things
Gobot makes controlling robots and devices incredibly simple and fun. This program connects to an Arduino, and toggles an LED, every one second. Support for devices that use Analog Input/Output (AIO) communication have a shared set of drivers provided using the "gobot/drivers/aio" package. Support for devices that use General Purpose Input/Output (GPIO) communication have a shared set of drivers provided using the "gobot/drivers/gpio" package. Gobot has a extensible system for connecting to... -
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AWS IoT Device SDK for Python
SDK for connecting to AWS IoT from a device using Python
The AWS IoT Device SDK for Python allows developers to write Python script to use their devices to access the AWS IoT platform through MQTT or MQTT over the WebSocket protocol. By connecting their devices to AWS IoT, users can securely work with the message broker, rules, and the device shadow (sometimes referred to as a thing shadow) provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, and more. It is a complete rework, built to improve reliability,... -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client... -
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MQTTnet
High performance .NET library for MQTT based communication
MQTTnet is a high-performance .NET library for MQTT-based communication. It provides an MQTT client and an MQTT server (broker) and supports the MQTT protocol up to version 5. TLS support for client and server (but not UWP servers). Extensible communication channels (e.g. In-Memory, TCP, TCP+TLS, WS). Lightweight (only the low-level implementation of MQTT, no overhead). Performance optimized (processing ~150.000 messages/second). Uniform API across all supported versions of the MQTT... -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its... -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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AWS IoT Fleet Provisioning Library
Client library for using AWS IoT Fleet Provisioning service
The Fleet Provisioning library enables you to provision IoT devices without device certificates using the Fleet Provisioning feature of AWS IoT Core. For an overview of provisioning options available, see Device provisioning. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including... -
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AWS IoT Jobs library
Client library for using AWS IoT Jobs service on embedded devices
The AWS IoT Jobs library helps you notify connected IoT devices of a pending Job. A Job can be used to manage your fleet of devices, update firmware and security certificates on your devices, or perform administrative tasks such as restarting devices and performing diagnostics. It interacts with the AWS IoT Jobs service using MQTT, a lightweight publish-subscribe protocol. This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The... -
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AWS IoT Device SDK v2 for Python
Next generation AWS IoT Client SDK for Python
Next-generation AWS IoT Client SDK for Python using the AWS Common Runtime. This document provides information about the AWS IoT Device SDK v2 for Python. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-compression, aws-c-http, aws-c-cal, aws-c-auth, s2n ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Python by the awscrt package (PyPI). AWS IoT provides the cloud... -
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AWS IoT Device SDK for C++ v2
Next generation AWS IoT Client SDK for C++ using AWS Common Runtime
Next-generation AWS IoT Client SDK for C++ using the AWS common runtime. This document provides information about the AWS IoT device SDK for C++ V2. If you have any issues or feature requests, please file an issue or pull request. This SDK is built on the AWS Common Runtime, a collection of libraries (AWS-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal, aws-c-auth, s2n...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to C++ by the... -
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Control logic
Realtime PC-based control and simulator of control systems
Control logic Java package is a set of Java classes aimed at: - Implementation of a real-time PC-based control - Simulation of control systems Setting up a control system involves working with so-called triggers. See project Wiki for detailed information and examples. -
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MultiCAN
EPICS device support for CAN Bus
MultiCAN implements a CAN Bus device support for EPICS. EPICS is a framework for control systems, the CAN Bus is a reliable real-time field bus. The ‘Multi’ und MultiCAN stands for ‘Multi Protocol support’, so it supports more than one protocol for CAN Bus communication. MultiCAN has support for the CANOpen protocol and the older CAN Application Layer (CAL). -
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ESP32 ACME client
ESP32 library for ACME protocol client (to get certificates)
ACME client library for ESP32 Copyright © 2019, 2020, 2021, 2023, 2024 by Danny Backx ACME is a protocol (see https://tools.ietf.org/html/rfc8555 for automatic certificate management. Sites such as letsencrypt.org allow you to obtain free (no charge) certificates in an automated way using the ACME protocol. This library allows you to get certificates for IoT devices based on the ESP32. More info in... -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL)... -
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Enapter UCM Kit Flasher
Application for uploading latest Enapter IoT firmwares for ESP32
Enapter UCM Kit is based on several important open-source and free-to-use components. This provides possibilities for personal technology development and hardware prototyping all of which are extremely helpful for developing innovative, cost-efficient smart energy solutions for emerging markets. UCM Kits can be assembled by hand with documentation at https://developers.enapter.com/docs/tutorial/ucm-kit/introduction **Setup** In order to upload firmware to development board over USB, you need to add your user to the `dialout` group. ... -
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Internet of Things RandOm GENerator
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Mongoose OS
IoT firmware development framework
Mongoose OS, an IoT Firmware Development Framework. Supported microcontrollers, ESP32, ESP8266, CC3220, CC3200, STM32F4, STM32L4, STM32F7. Amazon AWS IoT, Microsoft Azure, Google IoT Core integrated. Code in C or JavaScript. Mongoose OS is integrated and powers many types of devices and appliances globally. Microsoft Azure IoT recommends Mongoose OS for OTA, automatic device management and deploying firmware updates at scale. -
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RaspberryLight
Make your Raspberry Pi to a Wi-Fi controllable LED Light
...WiringPi is used to control the GPIOs for some feature and Indy (Internet Direct) is used to support all network feature like UDP-broadcasting and handling the HTTP-requests. The development platform is Lazarus. -
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Johnny-Five
JavaScript Robotics and IoT programming framework
Johnny-Five is the JavaScript Robotics & IoT Platform. Released by Bocoup in 2012, Johnny-Five is maintained by a community of passionate software developers and hardware engineers. Over 75 developers have made contributions towards building a robust, extensible and composable ecosystem. The only kit designed for getting started with Johnny-Five! The Johnny-Five Inventor's Kit, from Bocoup and SparkFun, is now available! It's designed for anyone who wants to get started with... -
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IoT Leaf
Software resources for the ESP32 based IoT Leaf microcontroller board
The IoT Leaf is a small ESP32-based device which can be used as highly flexible power supply, as embedded controller or as a combination of both: it consists of a board which can be cut into two pieces resulting in two different devices or which can be used as one. The board can be powered via solar cell or USB and provides a battery charging function and deep-discharge protection for LiPo batteries. Beside the ESP32 the microcontroller part is prepared for a LoRaWAN and a GPS... -
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SiteWhere
An industrial strength open-source application platform for the IoT
...SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both infrastructures such as highly-available databases and MQTT brokers as well as microservices to facilitate various aspects of IoT project development. The platform is built with a framework approach using clearly defined APIs so that new technologies may easily be integrated as the IoT ecosystem evolves. SiteWhere is composed of Java-based microservices which are built as Docker images and deployed to Kubernetes for orchestration. -
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bluetroller
A library and interface for controlling bluetooth LE devices
bluetroller is a library and interface for controlling all kinds of bluetooth LE devices. A vast number of devices can be controlled via Bluetooth LE, including fitness trackers, lighting, camera sliders, gimbals and many more. Right now these devices can only be controlled via phone apps which are frequently buggy, unmaintained and will stop working after some future phone update. This project aims to grow to become an exhaustive library of these devices. -
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mt4mqtt
MQTT client for MetaTrader
MQTT protocol client library for MetaTrader. -
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CoSMoSim
Visual & persistent families of models for CA, DEVS, and Statecharts
CoSMoSim offers an integrated framework for model development, simulation, & experimentation. Its unified logical, visual, and persistence framework supports specifying families of parallel CA, DEVS, Statecharts, and XML-Schema models (see DEVS-Suite simulator). -
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NodeManager
MySensors plugin for a rapid development of battery-powered sensors
MySensors (https://www.mysensors.org) is an open source hardware and software community focusing on do-it-yourself home automation and Internet of Things which allows creating original and affordable sensors. NodeManager is intended to take care on your behalf of all those common tasks a MySensors node has to accomplish, speeding up the development cycle of your projects an including the following main components: - Sleep manager: allows managing automatically the complexity behind battery-powered sensors spending most of their time sleeping - Power manager: allows powering on your sensors only while the node is awake - Battery manager: provides common functionalities to read and report the battery level - Remote configuration: allows configuring remotely the node without the need to have physical access to it - Built-in sensors: provide embedded code so to allow their configuration with a single line of common sensors Source code on http://github.com/mysensors/NodeManager
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