MetPy is a Python library that provides a comprehensive suite of tools for working with meteorological data. It enables users to read, visualise, and perform calculations on weather datasets, making it particularly useful for atmospheric scientists, researchers, and educators.
The project integrates closely with the wider scientific Python ecosystem, leveraging libraries such as NumPy, SciPy, Matplotlib, and Xarray. It offers specialised functionality for meteorology, including unit-aware calculations and advanced plotting capabilities, allowing users to build powerful and reproducible weather analysis workflows.
This is free and open source software.
Key Features
- Provides tools for reading, analysing, and visualising meteorological and atmospheric data.
- Supports a range of weather data formats including radar and satellite data sources.
- Includes unit-aware calculations for meteorological quantities such as dewpoint, vorticity, and CAPE.
- Offers specialised plotting tools such as Skew-T diagrams, hodographs, and station plots.
- Integrates with scientific Python libraries including NumPy, SciPy, Matplotlib, Pandas, and Xarray.
- Designed for extensibility and reuse within custom meteorological applications and workflows.
Website: github.com/Unidata/MetPy
Support:
Developer: Unidata
License: BSD 3-Clause “New” or “Revised” License
MetPy is written in Python. Learn Python with our recommended free books and free tutorials.
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