Open-Meteo is a free and open-source weather API for non-commercial use (open-meteo.com)

Popular in 2021 (443 points, 147 comments) https://news.ycombinator.com/item?id=28499910

I used to use this with home assistant but you seem to have to give a credit card now even for the free access :(

The creator has a hn account: https://news.ycombinator.com/user?id=meteo-jeff

His initial comment describing it: https://news.ycombinator.com/item?id=28504740

This is a very confusingly worded.

I think what they mean is that the data and code itself is libre/free/open [0] [1] but the API access is essentially rate limited for non-paying customers?

[0] https://open-meteo.com/en/licence (CC-BY)

[1] https://github.com/open-meteo/open-meteo/blob/main/LICENSE (AGPL)

I tried this with Node-RED for a Meshtastic project (MeshBop), but experienced occasional timeouts even when only making a handful of calls per hour. In the end I moved to Met Norway's API for UK/EU weather.

What timing. I was on a hunt only yesterday for free weather APIs for scripting on a personal hobby. I recognize the page design, but I can’t recall how it rated compared to the competition nor whether it made the list to use. I’ll revisit when I get back to my computer. I live HN.

Open-Meteo is amazing. I use it for my iOS weather app Frej: https://github.com/boxed/frej

We are a happy paying customer at $DAYJOB.

Also, I looked into omfiles for a project recently, I was very impressed with their speed and blown away by the compression ratios!

See also Pirate Weather https://pirateweather.net/ which powers Merry Sky

Hey, I was literally just writing up this example for a DSL I'm working on:

  GET /:city/weather.svg
    |> fetch("https://geocoding-api.open-meteo.com/v1/search?name=" + .params.city + "&count=10&language=en&format=json", {method: "GET"})
    |> jq: `{
      latitude: .data.response.results[0].latitude | tostring,
      longitude: .data.response.results[0].longitude | tostring
    }`
    |> fetch("https://api.open-meteo.com/v1/forecast?latitude=" + .latitude + "&longitude=" + .longitude + "&hourly=temperature_2m", {method: "GET"})
    |> jq: `
      .data.response.hourly as $h |
      [$h.time, $h.temperature_2m] | transpose | map({time: .[0], temp: .[1]})
    `
    |> gg({ "type": "svg", "width": 800, "height": 400} ): `
      aes(x: time, y: temp)
        | line()
        | point()
    `

Thanks for the service, I use it for demos all the time!

I use it with an excellent Android app Breezy Weather (from f-droid) for a few years now.

It's the best weather data and presentation I ever had. The only solution that is clean and where long term predictions are worth something. Partially because of the data source, partially because of the UI that doesn't bullshit me.

That's great ! FWIW I generated a small web app (I am just starting to experiment with Claude and Devstral and that seemed a good exercise :), and put it online in case it would be useful https://meteo.karteum.ovh (e.g. during my last trips I used the weather forecasts to refine where I would go more precisely within the country. But I was frustrated as many meteo websites are full of ads...)