MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data. If you’re new to MetPy, check out our Getting Started guide. Development is supported by the National Science Foundation through grants AGS-1344155, OAC-1740315, AGS-1901712.
For additional MetPy examples not included in this repository, please see the Unidata Python Gallery.
We support Python >= 3.6. Support for Python 2.7 was dropped with the release of 0.12.
For questions about MetPy, please ask them using the “metpy” tag on StackOverflow. Our developers are actively monitoring for questions there.
You can also email Unidata’s python support email address
The source code is available on GitHub
Bug reports and feature requests should be directed to the GitHub issue tracker
MetPy has a Gitter chatroom for more “live” communication
MetPy can also be found on Twitter
If you use MetPy in a publication, please see Citing MetPy.
For release announcements, join Unidata’s python-users mailing list
MetPy follows semantic versioning in its version number. This means
that any MetPy
1.x release will be backwards compatible with an earlier
1.y release. By
“backward compatible”, we mean that correct code that works on a
1.y version will work
on a future
1.x version. It’s always possible for bug fixes to change behavior or make
incorrect code cease to work. Backwards-incompatible changes will only be allowed when changing
2.0. Such changes will be proceeded by MetpyDeprecationWarning or
FutureWarning as appropriate. For a version
1.x.y, we change
x when we
release new features, and
y when we make a release with only bug fixes.
AMS 2020 talk on MetPy being ready for a 1.0 release
AMS 2019 talk on bringing GEMPAK-like syntax to MetPy’s declaritive plotting interface
AMS 2019 poster on recent development and community building with MetPy
SciPy 2018 talk on prototyping MetPy’s future declarative plotting interface
Presentation on MetPy and Community Development at the 2018 AMS Annual Meeting by Ryan May
MetPy was featured on Episode 100 of Podcast.__init__
Presentation on MetPy’s build infrastructure by Ryan May at SciPy 2016
MetPy was included in tools presented at the SSEC/Wisconsin AOS Python Workshop
Presentation on MetPy at the 2016 AMS Annual Meeting by Ryan May
Ryan May’s talk and tutorial on MetPy at the 2015 Unidata Users Workshop