7 Best Python Weather API libraries in 2023

Python Weather API Libraries offer an interface for accessing weather data from different APIs. Easy-to-use functions help fetch current weather, historical weather data, and weather forecasts. It supports different languages and units of measurement.  

Python Weather API Libraries can retrieve weather data for specific and multiple locations. It can retrieve information like humidity, precipitation, temperature, wind speed, and UV index. It offers customization options for specifying the level of granularity or detail of weather data required. It can handle exceptions or errors during the API request process. We can integrate with weather APIs like Dark Sky, Weatherbit, OpenWeatherMap, and AccuWeather.  

Here are the 7 best Python Weather API Libraries for helping developers: 

wttr.in: 

• Is a weather service that offers weather data using a command-line interface.  
• Allows you to retrieve current forecast and weather data for any location using a simple HTTP request.  
• Offers various customization options like the language used for the data, the ability to specify the weather data format, and more.  
• Supports various weather-related queries like sunsets, moon phases, and sunrises. 

Jarvis: 

• Is an open source library that offers an easy-to-use interface to create a virtual assistant like the character Jarvis in Iron Man.  
• Allows you to create custom commands and responses for the virtual assistant. 
• Allow easy interaction with users and perform tasks.  
• Support is offered for speech-to-text and text-to-speech capabilities.  
• Offers the ability to integrate with third-party services and APIs, weather services, and Wikipedia. 

weewx: 

• Is a Python library for interfacing with logging weather and weather station data.  
• Offers a flexible framework to collect, display, and process weather data from various sources.  
• Built-in support to upload data to social media and weather services platforms.  
• Is an excellent choice for developers looking to create a weather station. 
• Helps integrate weather data into applications. 

pysteps: 

• Is an open source Python library for precipitation nowcasting.  
• Offers various algorithms and tools for analysis, processing, and visualization.  
• Offers precipitation data with a focus on high-resolution radar data.  
• Is a powerful tool for meteorologists, researchers, and others working with precipitation data. 

wetterdienst: 

• Is an open source library for accessing data from various German weather services.  
• Offers a unified interface for accessing current, historical, and forecast weather data.  
• Supports various weather data sources like Meteogroup, OpenWeatherMap, and Deutscher Wetterdienst.  
• Offers an easy-to-use interface to access weather data. 

pirate-weather-ha: 

• Is designed to replace the DarkSky integration in Home Assistant with a modified and updated version.  
• The underlying code will be significantly different from its previous versions.  
• The API key can be received from the Pirate Weather Site and used for tracking usage and keeping AWS bills reasonable. 

e_paper_weather_display: 

• Is an open source library to display weather information on an e-paper display.  
• Offers an easy-to-use interface for retrieving weather data from different sources. 
• Helps display it on an e-paper display.  
• Supports various weather data sources like Meteoblue and OpenWeatherMap.  
• Is a valuable resource for anyone looking to build a weather display for commercial and personal use.