A Python wrapper around the OpenWeatherMap API

PyOWM is a client Python wrapper library for the OpenWeatherMap (OWM) web API.

It allows quick and easy consumption of OWM weather data from Python applications via a simple object model and in a human-friendly fashion.

PyOWM runs on Python 2.7 and Python 3.2+, and integrates with Django 1.10+ models.

Install with pip for your ease:

$ pip install pyowm

There is a lot of alternatives: setuptools, Windows installers and common package managers such as Yaourt

Eager to fetch the very latest updates to PyOWM? Install the development trunk:

$ pip install git+https://github.com/csparpa/pyowm.git@develop

As the OpenWeatherMap API needs a valid API key to allow responses, PyOWM won't work if you don't provide one. This stands for both the free and paid (pro) subscription plans.

You can signup for a free API key on the OWM website

Please notice that the free API subscription plan is subject to requests throttling.

That's what you can do with PyOWM and a free OWM API Key:

import pyowm

owm = pyowm.OWM('your-API-key')  # You MUST provide a valid API key

# Have a pro subscription? Then use:
# owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')

# Search for current weather in London (Great Britain)
observation = owm.weather_at_place('London,GB')
w = observation.get_weather()
print(w)                      # <Weather - reference time=2013-12-18 09:20,
                              # status=Clouds>

# Weather details
w.get_wind()                  # {'speed': 4.6, 'deg': 330}
w.get_humidity()              # 87
w.get_temperature('celsius')  # {'temp_max': 10.5, 'temp': 9.7, 'temp_min': 9.0}

# Search current weather observations in the surroundings of
# lat=22.57W, lon=43.12S (Rio de Janeiro, BR)
observation_list = owm.weather_around_coords(-22.57, -43.12)

And this is a usage example with a paid OWM API key:

import pyowm

paid_owm = pyowm.OWM(API_key='your-pro-API-key', subscription_type='pro')

# Will it be clear tomorrow at this time in Milan (Italy) ?
forecast = paid_owm.daily_forecast("Milan,IT")
tomorrow = pyowm.timeutils.tomorrow()
forecast.will_be_clear_at(tomorrow)  # The sun always shines on Italy, right? ;-)

More PyOWM usage examples are available here.

Each release has its own changelog.

The library API documentation is available on Read the Docs.

Contributors (coding, testing, packaging, reporting issues) are welcome!.

See the CONTRIBUTING.md file to get started.

See the notes on testing wiki page to get started

Join the PyOWM public Slack team by signing up here

Here are some cool projects that use PyOWM

• If you liked PyOWM, consider giving me a tip!
• OpenWeatherMap website
• OpenWeatherMap web API docs

MIT license