#go #dns #dns_server #fun #unit_conversion #weather

https://github.com/knadh/dns.toys

#swift #weather #weather_api #weather_forecast

https://github.com/open-meteo/open-meteo

#python #weather #weather_forecast

This package provides tools and pretrained models for predicting weather using AI, specifically the GenCast and GraphCast models. It includes example code, pretrained model weights, and data preprocessing utilities. You can use these models to make accurate medium-range weather forecasts. The package offers different resolution models, some of which can be run on lower-memory systems, making it accessible for various users. To get started, you can use the provided Colab notebooks to load data, generate predictions, and compute losses. This helps you forecast weather more accurately and efficiently, which is beneficial for researchers, meteorologists, and anyone needing reliable weather predictions.

https://github.com/google-deepmind/graphcast

#c_lang #display #eink #embedded #epaper #esp32 #weather

This weather display uses a wifi-enabled ESP32 microcontroller and a 7.5-inch E-Paper display to show current and forecasted weather, indoor temperature, and humidity. It gets weather data from the OpenWeatherMap API and can be configured to update as often as you want. The device is very energy-efficient, running for over 6 months on a single 5000mAh battery when updating every 30 minutes. You can customize settings like location, time/date formats, units, and language. It also shows hourly outlook graphs and air quality indexes. The setup is easy with PlatformIO for VSCode, and it includes troubleshooting guides for common issues. This device is great because it saves power, provides accurate weather information, and is highly customizable.

https://github.com/lmarzen/esp32-weather-epd

#javascript #weather_channel #weather_display

The WeatherStar 4000+ is a web-based simulator that brings back the nostalgic feel of 90's weather forecasts from The Weather Channel. It provides current and forecast weather conditions using NOAA's Weather API, which is limited to the U.S. The simulator is easy to use and doesn't require much setup. It offers features like customizable displays and a simple interface. Users can access it online or run it locally with Node.js. This project is great for those who miss the old Weather Channel style but want it in a modern format. It's not meant for critical weather situations but is fun for nostalgia.

https://github.com/netbymatt/ws4kp