npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

hazyair

v1.6.7

Published

Air quality monitoring tool.

Downloads

74

Readme

hazyair - air quality monitoring tool.

hazyair is a handy tool that enables to retrieve measurments of the:

  • dust conectration in the air (PM1.0, PM2.5, PM10),
  • temperature,
  • humidity,
  • pressure,

from the sensors and optionally store them to the simple database. It can also visualize the measurement results on the charts that can be accessed from the web browsers.

Hardware - Configuration

hazyair was orginally developed on Raspberry Pi Zero W but it should work on any version of Raspberry Pi. Following sensors are supported:

  • dust sensors - Plantower sesors, SDS011 (not tested), SDS018 (not tested), SDS021 (not tested),
  • temperature sensors - DS18B20,
  • temperature, pressure and optionally humidity combo sensors - BME280, BMP280,
  • builtin dust, temperature, humidity sensors - Xiaomi Air Purifier 2.

Installation

Common Steps

Install node.

sudo apt-get install nodejs

Install npm.

sudo apt-get install npm
sudo npm install -g npm@latest
sudo apt-get remove npm
sudo apt-get autoremove

Development

git clone https://github.com/\
hazyair/hazyair.git
cd hazyair
npm install

Production

Create node_modules folder.

mkdir node_modules

Install hazyair module.

npm install hazyair

Use as a service

Browse to hazyair folder.

cd node_modules/hazyair

Run desired sensor configuration script (examples below).

npm run plantower PMS7003 \
/dev/serial0

npm run nova SDS011 \
/dev/serial0

npm run maxim

npm run bosch BME280 1 119

npm run xiaomi AirPurifier2 \
192.168.0.1

Deploy hazyair service.

npm run deploy

Run web browser and open charts under following link http://<ip_address>:8081.

Use as a module - API

const Hazyair =
            require('hazyair');

// Initialize hazyair.
hazyair = new Hazyair([{
    parameter: 'dust',
    model: 'PMS7003',
    persistent: true,
    options: {
        device: '/dev/serial0'
    }
}]);

// Optionally handle incoming
// measurements.
hazyair.on('dust', (data) => {
   // New measurement result
   // available.
});

// Optionally send out incoming
// data to the ThingSpeak™
// service once available.
hazyair.thingspeak({
    api_key:
        'XXXXXXXXXXXXXXXX',
    parameters: {
        dust: {

    concentration_pm10_normal:
            'field1'
        
        }

    }
});

// Optionally send out incoming
// data to the dweet.io
// service once available.
hazyair.dweet({ 
    thing:
        'XXXXXXXXXXXXXXXX',
    parameters: {
        dust: {

    concentration_pm10_normal:
            'PM10'

        }

    }
});

// Start collecting
// measurements data.
hazyair.start();

// Optionally start http server
// and make data accessible to
// the web browsers.
hazyair.listen({
    port: 8081
}, () => {
    // Additional code goes
    // here.
});

License

MIT License

Copyright (c) 2018-2019 Marcin Sielski