Many Internet-of-Things applications require knowledge of various environmental factors such as temperature, humidity, and light levels. While various sensors exist that fill this need locally–such as the ubiquitous DHT11/22 temperature and humidity sensor–sometimes an application requires broader weather data or just a sense of whether or not it is raining outside. Other applications might benefit from weather forecasts.
Thankfully the Internet provides us hobbyists and makers with a ton of APIs that provide weather data. Honestly the sheer volume of the APIs can be overwhelming. For a project that I’ve been playing around with–an indoor environmental monitoring system–I wanted some external data for comparison and worked with quite a few different APIs before I found the mix that worked for me. In the next few posts I’ll share my experiences and some sample code for working with each one.
But first here is a look at the contenders I will be evaluating
As a preview I’ve found that each has their pluses and minuses. Some provide lots of information, but have quirks in their API that make them annoying to use. Others lack data that seems essential. Ultimately–as I have cycles and bandwidth to spare–I combined all four in my final solution.