The National Weather Service Python library by Joshua W allows users to access service public alerts by weather.gov. Documentation includes guidance to import module, get data use, support methods, and get reports. A toolbelt is a suggestion to include extra handling to avoid to handle data with a library extension. This Python module includes NWS.alert() as an object to wrap with ease.
For as long as people have been grabbing a board and trying to catch some waves, attempting to predict surf quality has been considered an art. Spitcast is trying to turn the art of prediction into the science of surf. Jack Mullis, the founder and developer of Spitcast, has been surfing for years. In 2005 he decided to combine his knowledge of surfing with his degree in Engineering Physics and create a unique algorithm that can predict future surf conditions by using Java and MySQL to cross reference NOAA regional weather data with observations at specific surf spots. This process has been shown to produce predictions accurate to 1 foot standard deviation. With the Spitcast API, this data can be transformed into custom applications.
Seattle based Front Seat software launched a new service to rank public transit for an area. The service almost perfectly illustrates the value of open government data. The "Transit Score" offers a handy location score that's compelling because transportation is a major factor in picking an affordable place to live.