Johnny-Five is an Open Source, Firmata Protocol based, IoT and Robotics programming framework, developed at Bocoup. Johnny-Five programs can be written for Arduino (all models), Electric Imp, Beagle Bone, Intel Galileo & Edison, Linino One, Pinoccio, pcDuino3, Raspberry Pi, Particle/Spark Core & Photon, Tessel 2, TI Launchpad and more!

Johnny-Five - JavaScript Robotics and IoT programming framework

Freeboard is a turn-key HTML-based "engine" for dashboards. Besides a nice looking layout engine, it provides a plugin architecture for creating datasources (which fetch data) and widgets (which display data)— freeboard then does all the work to connect the two together. Another feature of freeboard is its ability to run entirely in the browser as a single-page static web app without the need for a server. 

Freeboard - Dashboard for Internet of Things

Zetta is an open source platform built on Node.js for creating Internet of Things servers that run across geo-distributed computers and the cloud. Zetta combines REST APIs, WebSockets and reactive programming – perfect for assembling many devices into data-intensive, real-time applications.
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Zetta turns any device into an API. Zetta servers communicate with microcontrollers like Arduino and Spark Core giving every device a REST API both locally and in the cloud.
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Zetta's architecture is optimized for data-intensive, real-time applications. Zetta allows you to observe and react to device and system behavior in code and using visualization tools so that you gain actionable insights and take insightful actions.

Zetta is an open source platform built on Node.js for creating Internet of Things servers that run across geo-distributed computers and the cloud. Zetta combines REST APIs, WebSockets and reactive programming – perfect for assembling many devices into data-intensive, real-time applications.

Zetta - An API-First Internet of Things Platform

Sensorbee is designed for low-latency processing of streaming data at the edge of the network. IoT devices frequently generate large volumes of unstructured streaming data, such as video and audio streams. Even if the data streams are structured, they may be meaningless if their temporal characteristics are not considered. Cloud-based services are generally not good at processing these kinds of data. Preprocessing data streams before they are sent to the cloud makes large scale data processing in the cloud more efficient and reduces the usage of network bandwidth. 
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Sensorbee extracts useful information from unstructured data often requires machine learning. It works well with online machine learning algorithms by storing machine learning models as user-defined states. It supports various machine learning toolkits, including Chainer and some components of Jubatus. In addition, SensorBee’s query language enables stateful temporal data handling.

Sensorbee is designed for low-latency processing of streaming data at the edge of the network. IoT devices frequently generate large volumes of unstructured streaming data, such as video and audio streams. Even if the data streams are structured, they may be meaningless if their temporal characteristics are not considered. Cloud-based services are generally not good at processing these kinds of data. Preprocessing data streams before they are sent to the cloud makes large scale data processing in the cloud more efficient and reduces the usage of network bandwidth. 

Sensorbee - Lightweight stream processing engine for IoT

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Johnny-Five - JavaScript Robotics and IoT programming framework

Freeboard - Dashboard for Internet of Things

Zetta - An API-First Internet of Things Platform

Sensorbee - Lightweight stream processing engine for IoT

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Johnny-Five - JavaScript Robotics and IoT programming framework

Freeboard - Dashboard for Internet of Things

Zetta - An API-First Internet of Things Platform

Sensorbee - Lightweight stream processing engine for IoT

TechStack

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