There are 6 repositories under air-quality-data topic.
Tools for air quality data analysis
Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!
Python package to get and transform PurpleAir data
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
Field observation quick analysis toolkit
The sensors.AFRICA API receiving, storing, and processing data received from sensors across the continentent. Accessible at https://api.sensors.africa/
Miasma is an open source lightweight app for macOS & iOS that shows air quality data
The web interface and JSON api for the ConnectedHumber Air Quality Monitoring Project.
Outdoor Air Quality Statistics India - Unofficial CPCB API
Command-line application providing some information about air quality in Poland. Tested using Mockito and JUnit
A telegram bot that sends you air quality data of locations or addresses
Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.
A set of data analysis tools to support the air quality project of Civic Labs Belgium
View the latest air quality data from PurpleAir IoT sensors located near your home.
A MQTT-based air quality monitoring station firmware.
Análisis de la calidad del aire en Guadalajara
💧 Get Air Quality Data of any place in a very simplified interface
PurpleAirSF: datasets for realistic air quality forecasting
Indoor air quality sensor box IoT project with 3D-printed housing!
Import measurements from InfluxDB 2.x database and calibrate them with a variety of linear regression techniques (both univariate and multivariate). Then, graph the results and export to a pdf document.
A Web widget to visually show real-time air quality data.
A python crawler to get aqi and air pollutants concentration data from http://zx.bjmemc.com.cn/
Applied Regression Models to Beijing Multi-site Air Quality data to confirm whether Air Quality has an effect on the temperature of a region.
While developing a user-friendly programme that can display pollution levels of various Asian countries, the user can create and work on new databases and tables for analysis of air pollution levels (AQI) of different places, as well as perform various types of statistical analysis of different places, such as sorting, grouping, systematic arranging, and so on. This is a one-time-use software, and the table it creates will be deleted after the first usage. Microcubic metre is the unit used to enter data. Its purpose is to do a comprehensive data analysis using tables. The data analysed can also be used to create new techniques to tackling rising levels of air pollution in diverse regions, as well as improve existing ones. Statistics can also be used to assess the effectiveness of previous strategies.
An open-source Dart package to easily obtain real-time, historical, or forecasted air quality data for anywhere in the world. All the original features of the Python package, ported to Dart in a format to make it great with Flutter dev too!
Use your old Kindle Touch and PaperWhite2 as a weather station with weather DarkSky API and HomematicIP weather sensor.