This app is Open-Source, and the developer can’t afford the cost of a faster API key, so you might want to create your own API at OpenWeatherMap. Just press Ctrl+Shift+W to bring it back. The app will minimize when you click somewhere else. The hotkeys might feel unintuitive at first, but they prove to be useful in the long run. The most unique features are the temperature graphs. Temps is an electron app with a beautiful UI (though not exactly “light”). They look good and provide more information at a glance. Open up the Ubuntu Software Center and search for Meteo. Note: After changing location, you might have to quit and restart the app for the changes to be applied in the system tray. It’s a distinct feature that I haven’t encountered in any other weather app. Most of that weight comes from the great Maps features, with maps presenting temperatures, clouds, precipitations, pressure and wind speed. Integrated into System Tray (Top Panel).If you prefer, you can get a flatpak version. After logging out (and logging back in), the Calendar extension will be displayed. Now search for Weather and the app should pop up. Although it doesn’t have as many features as other apps, it is still great if you don’t want to bother with multiple settings and a complex install procedure.Īll you have to do is run: sudo apt install gnome-weather The installation is only one command and the app is easy to use. Now open up Tweaks (gnome tweak tool) and enable Openweather in the Extensions tab. Then all you have to restart the gnome shell by executing: Alt+F2 The easiest way to install this extension is to open up a terminal and run: sudo apt install gnome-shell-extension-weather I recommend reading this detailed tutorial about using GNOME extensions. It is the weather app that I find myself using the most, because it’s just a simple, no-hassle integrated weather display for the top panel. This is a great extension presenting you information in a simple manner. Can save multiple locations (that can easily be changed).After sending the request, you should receive the result within one minute maximum.These applications usually sit on the top panel of your screen. After 10 days, a more complex RNN model will be used for predictions in your city.Īlso (from version 2.3.0) added another ML model, which make prediction for temperatures for each of 24 hours for one day (chose LinearRegression) and update temperatures by hour each hour.Ĭode for backend part host on Google AppEngine. And for each city script will create a machine learning model to predict temperature for the next 1, 7, 10 days.įrom 1 to 10 observation LinearRegression model will be used for predictions in your city. Each day for each available city in the DB script will update the parameter of temperature. If your city not in DB, you will see all predictions are equal to temperature, which you got by the first visit. Show temperature at your location (one value for current temperature, update each hour, another - 24 hours predictions for present day) as well as your city, country, and which day is today.Īs an experimental option, you could see predictions for weather temperatures for the next 1, 7, 10 days(predict temperature at 12:00 AM in your city).
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