weather2influxdb

Weather2InfluxDB

Weather2InfluxDB is a tool to store forecast data from multiple sources in InfluxDB.

Currently supported sources:

• National Weather Service (NWS)
• VisualCrossing
• TheGlobalWeather
• No other sources planned at this time, due to not meeting the below criteria (7 day hourly forecast, reasonably priced or free)
• Open an issue if you find a worthy source!

Usage:

Either... Install a binary

• Download a binary from the latest Release
• chmod +x the binary

Or... Build from source

• Clone this repo
• Install Go
• cd weather2influxdb
• go build

To run:

• Create a config file named weather2influxdb.yaml referencing the example
• Place the config in ./config/, ./, or /usr/local/etc/
• Run the binary: ./weather2influxdb

Grafana Dashboard

I've included my grafana dashboard definition in the repo. Here is a screenshot of what it looks like when configured correctly. I use this dashboard daily for my local weather forecast.

Rationale behind included/planned sources:

I was looking for a replacement for DarkSky, who were bought by Apple and will be retiring their API at the end of 2021. DarkSky had the best forecasts and a generous free version, with 7 days of forecast data available.

I used the DarkSky data to power my own visualizations of my local forecast in Grafana. I find my Grafana graphs of forecast data much more intuitive than any weather app or website out there. I display the 7 day forecast for temps, precip, wind, and clouds, on the same graph with 7 days of actual data history from my Ambient Weather personal weather station, and also the forecast from 24 hours previous.

So when I went looking for replacements I needed these features:

• At least 7 days of HOURLY forecast data. Daily highs and lows are not very interesting to look at in a graph.
• I preferred Free APIs or APIs allowing at least 1500 forecasts per month, as I only made <200 calls/day to DarkSky, and paying large amounts for my personal forecast dashboard is just silly.
  • This is why visualcrossing is a supported source, because their free tier supports 250 forecasts/day.
• I also considered Low-cost APIs.
  • Theglobalweather is a pay-as-you-go api that you only pay a fraction of a cent per call, which is much better than paying tens or hundreds of US dollars a month.