The Foobot Tech Blog

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foobot US communities

Detecting and visualizing Foobot communities with Louvain method, Spark GraphX and D3.js

Here at Airboxlab, we collect and analyze indoor pollution to make people life safer and easier.We’re analyzing Foobot sensors data individually so we can inform and alert our customers when pollution levels are higher than recommended, but we’re also trying to analyze global trends with various technics.Lately, we’ve been interested in using community detection algorithms. […]

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Image showing streaming pipeline for the IoT with Apache Spark

A streaming pipeline for the IoT with Apache Spark & microservices

What is Airboxlab doing with Foobot data?We build Foobot, which sends indoor air quality data on a regular schedule. This data represents our users most valuable information, and is why they are buying a Foobot for. This data itself is the core of our business, and as engineers we have to secure the process of […]

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Foobot pioneers innovative air monitoring products, services and technologies that lead to improved air quality indoors.

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