An open-source Python package to easily obtain real-time, historical, or forecasted air quality data for anywhere in the world. Reliable, accurate and simple.

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.

The sensors.AFRICA API receiving, storing, and processing data received from sensors across the continentent. Accessible at https://api.sensors.africa/

Indoor air quality sensor box IoT project with 3D-printed housing!

A set of analysis tools for air quality data from various sources

A Python module to import data from the UK Automatic Urban Rural Network (air pollution monitoring network)

PurpleAirSF: datasets for realistic air quality forecasting

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

Get IRCEL - CELINE air quality data 🍃 🇧🇪

A python crawler to get aqi and air pollutants concentration data from http://zx.bjmemc.com.cn/

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.

This GitHub repository hosts data and tools for monitoring air quality in Brazil. It aims to support research and public awareness on air pollution trends and solutions.

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 arran…

Python library for accessing Utah's Air Quality metrics from the Department of Environmental Quality.

Python repository contains a regression-based model to predict the monthly average air quality in Madrid using historical data. The data includes daily air quality measurements and metadata related to the measurement stations.

The sensors.AFRICA air quality API receiving, storing, and processing data received from sensors across the continentent. Accessible at https://api.aq.sensors.africa/

Benzene level prediction using Keras

AQuaMoHo is a ML-driven framework to annotate air quality at any location from a low-cost Thermo-Hygrometer