A free, open, and documented weather forecast API, built as a compatible alternative to the Dark Sky API.
Weather forecasts are primarily determined using models run by government agencies, but the outputs aren't easy to use or in formats built for applications. To try to address this, I've put together a service (built on AWS Lambda) that reads public weather forecasts and serves it following the Dark Sky API style. It is not a reverse engineering of the API, since their implementation relies on radar forecasts for minutely results, as well as a few additional features. The API aims to return data using the same json structure as what Dark Sky uses.
Free API keys are capped at 20,000 API calls per month (once every 15 minutes).
Merry Weather is a lightweight forecasting website providing an all-in-one hourly summary of the upcoming temperature, precipitations and more. Hourly timelines helps plan ahead activities carefully with great precision. This website would not be possible without the ambitious Pirate Weather project which provides hourly and daily forecasting data in a sweet API.
Free and there are no ads. Most weather websites are needlessly heavy and distracting. Merry sky aims to be the opposite and give you precisely just what you need from a forecasting website. If you like this website, please consider donating to help with the hosting costs.
Welcome to the Zoltar forecast archive, an open-source web application that facilitates the storage, retrieval, evaluation, and visualization of point and probabilistic forecasts. Zoltar was developed to assist with many kinds of real-time forecasting projects.
Designed to improve the robustness of forecasting research, Zoltar is a research data repository that stores forecasts made by external models in standard formats and provides tools for validation, visualization, and scoring. It builds off of a foundation of core ideas and data structures first introduced in 2019 by predx. Zoltar can host real-time or retrospective forecasting challenges, competitions, or research projects, with users specifying the forecast targets.
In June 2020, we released a preprint describing the concepts, data model, and intended scope of Zoltar.
Projects are the fundamental organization unit of Zoltar, and hold a collection of models and their forecasts. Project owners can customize the details of a project for a forecasting challenge, a collaborative research project, or a teaching workshop.
API: https://zoltardata.com/api/
(Yeah, I don't know, either.)
Metaculus is a forecasting technology platform that optimally aggregates quantitative predictions of future events. Research shows that with the right incentives and feedback, groups of people can make remarkably accurate predictions of the probability of future events. Enabling this capacity is the aim of Metaculus.
Collective intelligence is at the heart of Metaculus. Our community has written thousands of questions and created hundreds of thousands of forecasts. The aggregation of the predictions of many forecasters is more accurate than that of (almost) any individual.
In addition to forecasting performance, the caliber of community discourse is very high on Metaculus. Through discussion, we can all learn from each other.
For these reasons, we will always welcome forecasting questions, suggestions, ideas, and input from our forecasters. We care about their experience, and we want to keep making it better.
RSS: https://www.metaculus.com/questions/rss/
REST API: https://www.metaculus.com/api2/
Open-Meteo offers free weather forecast APIs for open-source developers and non-commercial use. No API key is required. Pulls its data from the weather services of multiple countries. 7 day forecasts updated every three hours with a maximum resolution of 2km. All data is licensed CC-By-NC v4.0.
The documentation for Accuweather forecast API service.
An online open and crowdsourced weather service. People set up automatic weather stations (which are fairly cheap) and contribute measurements that are aggregated into forecasts. Has an API so you can pull data out of it as well as contribute it: http://openweathermap.org/appid Free accounts are, of course, limited in several ways. You can also get weather maps of various kinds from the service to visualize the forecast data. Forecast data is in XML, JSON, and HTML formats.
There is also an air pollution API: https://openweathermap.org/api/air-pollution