A Python wrapper around OpenWeatherMap web APIs

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

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

With PyOWM you can integrate into your code any of the following OpenWeatherMap web APIs:

• Weather API v2.5, providing
  • current weather data
  • weather forecasts
  • weather history
• Agro API v1.0, providing soil data and satellite imagery search and download
• Air Pollution API v3.0, providing data about CO, O3, NO2 and SO2
• UV Index API v3.0, providing data about Ultraviolet exposition
• Stations API v3.0, allowing to create and manage meteostation and publish local weather measurements
• Weather Alerts API v3.0, allowing to set triggers on weather conditions and areas and poll for spawned alerts
• Image tiles for several map layers provided by OWM

PyOWM runs on Python 2.7 and Python 3.4+ (but watch out! Python 2.x will eventually be dropped - check details out)

PyOWM also 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 (Arch Linux) and YaST/Zypper (OpenSuse)

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

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

As OpenWeatherMap APIs need a valid API key to allow responses, PyOWM won't work if you don't provide one. This stands for both 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 a simple example of what you can do with PyOWM Weather API 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 an example using 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? ;)

The library software API documentation is available on Read the Docs.

Each release has its own changelog.

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

See the the official documentation website for details or the CONTRIBUTING.md file for a quick primer.

Join the PyOWM public Slack team by signing up here

Here are some cool projects that use PyOWM

• OpenWeatherMap website
• OpenWeatherMap web API docs

MIT license