Engineering - QuantAQ

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Engineering

A collection of 9 posts

QuantAQ Hardware Engineer Abigail Fry and CEO David Hagan investigate a device sent in to our Somerville, MA lab for repairs.

Celebrating customer support milestones

Customer support has always been critically important to us. Today we're celebrating a 95+% satisfaction rating, and launching an easier way to see device repair history at-a-glance.

Shared Maps showing air quality data from a network of QuantAQ sensors.

Engineering Featured

New! Shared Maps for easy air quality data access

With this release, we're making it easier to customize and share information about real-time air quality with your audiences.

New Collaboration Tools in QuantAQ Cloud: Organizations and Networks

New Collaboration Tools in QuantAQ Cloud: Organizations and Networks

Easily deploy, manage, and collaborate across multiple networks of air quality sensors.

New in QuantAQ Cloud: Added security, accessibility, and data tools

New in QuantAQ Cloud: Added security, accessibility, and data tools

Announcing three new features for QuantAQ Cloud - added security, accessibility, and data tools

QuantAQ is now SOC 2 Type II Compliant

QuantAQ is now SOC 2 Type II Compliant

At QuantAQ, we work with customers across a variety of industries including government organizations, Fortune 100 companies, community groups/NGOs, and universities. Keeping customer and air quality sensor data secure is of paramount concern and obtaining our SOC 2 Type II attestation report shows our commitment toward security to our

Use py-smps to analyze size-resolved particle sensor data

Engineering Featured

Use py-smps to analyze size-resolved particle sensor data

py-smps is an open-source python package to help analyze and visualize data from aerosol sizing instruments such as the Scanning Mobility Particle Sizer (SMPS), Scanning Electrical Mobility Spectrometer (SEMS), and other aerosol-sizing instruments such as optical particle counters (OPCs). While it was originally developed to analyze data from research-grade instrumentation,

Rebasing time series in python

Quite often, you may find yourself with two sets of data - both time series - that do not share the same time index. There are a couple of common use cases where this may arise in air pollution/atmospheric chemistry: 1. You have two instruments that collect data at

py-smps@2.0.0 | a python library for the analysis and visualization of size-resolved aerosol data

Engineering Featured

py-smps@2.0.0 | a python library for the analysis and visualization of size-resolved aerosol data

py-smps is an open-source python package for the analysis of size-resolved aerosol data.

Deploying web-based analytic dashboards using Plotly Dash, Docker, and Traefik

Deploying web-based analytic dashboards using Plotly Dash, Docker, and Traefik

A quick tutorial on how to build and deploy a simple analytics dashboard using Plotly Dash, Docker, and Traefik.