MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
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Updated
Oct 22, 2025 - Python
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Access and analyze historical weather and climate data with Python.
🪲 Ladybug is an environmental plugin for Grasshopper.
Neofetch-like, minimalistic, and customizable weather-fetching tool.
The program for scheduling recordings and processing of the satellite and ground radio transmissions (like capturing of the weather APT images from NOAA satellites, voice messages from ISS, fixed time recordings of WeatherFaxes etc.) 🌍 📡
Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.
🐞 📗 Ladybug plugin for Grasshopper
Get weather data for a list of zip codes for a range of dates
This is a python package for simple access to hourly forecast data for the next 10 days and reported weather where this data is provided.
Python interface to the NCEP G2C Library for reading and writing GRIB2 messages.
臺灣歷史氣象觀測資料庫 Taiwan Historical Meteorological Observations Database
Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.
This tool enables sailors to fetch crucial GRIB weather files via messages over the Garmin inReach Satellite device while out on open seas without internet connection.
Simple naive bayes implementation for weather prediction in python
☁️ Raspberry PI Weather Station
A Python wrapper for the forecast.io API.
Visualized QA/QC of weather station data
Generic weather forecast downloader
A Python interface for the MET Norway Locationforecast/2.0 service.
A simple python script for fetching data from Weather Underground's API
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