Alternatives
Products that do what GribStream - Weather forecasts database. does
State of the art models like NOAA's NBM and ECMWF's IFS
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Hello! I'd like share about my sideproject https://gribstream.com It is an API to extract weather forecasting data from the National Blend of Models (NBM) https://vlab.noaa.gov/web/mdl/nbm and the Global Forecast System (GFS) https://www.ncei.noaa.gov/products/weather-climate-models/gl... . The data is freely available from AWS S3 in grib2 format which can be great but also really hard (and resource intensive) to work with, especially if you want to extract timeseries over long periods of time based on a few coordinates. Being able…
2024 · gribstream.com
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The UK MET office recently redesigned their site, adding a lot of additional whitespace, scrolling, and animations. This significantly reduced its usability for me, and left me wanting an ‘at a glance’ weather site. I made https://brolly.sh, a minimalist, plain text weather forecasting site. You can use it to view weather from around the world, with: 7 day forecast; Previous day log (so you can confirm it definitely was cooler / hotter / wetter / drier yesterday!); Hourly rain, wind, temperature, conditions; Hourly UV, air quality and pollen, including pollen type…
Jul 2026 · brolly.sh
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Last year I launched a website that allow people to see rainfall statistics that are based on satellite data. Historical rainfall information usually comes from rain gauges, and while these are fantastic there are many parts of the world that don't have many long term gauges, or where that data is hard to access. Satellite data can be an invaluable source of information for those data-scarce areas. The business model is to sell "extreme precipitation" data that can be used for flood modelling. Unfortunately, after a year I still haven't made a single sale. I've tried various ways of…
2023 · xrain.info
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Basically was getting annoyed jumping between 5 different sites during this winter storm season, so I built "StormWatch". It's a no-fuss, mobile-friendly webpage (dashboard) that shows all the stuff I was looking for, but in one simple UI. Features: - Real-time NWS alerts with safety tips - Snow/ice/precip accumulation forecasts (+wind) - Dynamic preparation checklists based on your alerts - Supply calculator for your household size - Regional weather news It's free, no login required, works on any device. Just enter your ZIP.…
Jan 2026 · jeisey.github.io
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2018 · allclearweather.com
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Hey there! This is Dan and Ustin (@uzarubin), and we want to share something cool we've been working on for the past year - an open-source `tail -f` for your data, with a UI. We call it "Streamdal" which is a word salad for streaming systems (because we love them) and DAL or data access layer (because we’re nerds). Here's the repo: https://github.com/streamdal/streamdal Here's the site: https://streamdal.com And here's a live demo: https://demo.streamdal.com (github repo has an explanation of the demo) — — — THE PROBLEM We built this because the…
2023 · github.com
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Google's most advanced and efficient forecasting model
Nov 2025 · deepmind.google
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I was walking around New York last month during some light rain and noticed about half the people had umbrellas open. When the rain picked up a few minutes later, that number jumped closer to 80%. It got me thinking it'd be cool to track this somehow, so I built a website! I am taking a sidewalk livestream, feeding it into a YOLO model for people tracking, then sending a frame of each detected person to Gemini 2.0 Flash, which returns structured JSON about each person's clothing and if they're holding an umbrella. I also had fun making the site look like a TV weather channel. I showed some…
2025 · walzr.com
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This was posted before but I'm quite pleased to share a major update for https://oikolab.com. We now have available seven decades of hourly weather data starting from 1950 for any location in the world, thanks to the recent publication of ERA5 reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 is gap-free, gridded dataset generated using data assimilation method (https://en.wikipedia.org/wiki/Data_assimilation), similar to NWP models but with the benefit of hindsight. As far as we're aware of, we're the first weather data…
2020
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Weather apps all claim to be accurate but never show their work. So I built a scoreboard that checks: it takes the forecasts each model published (ECMWF, GFS, ICON, AIFS and others, plus Apple Weather, Foreca, OpenWeather and Visual Crossing), waits for the weather to happen, and scores temperature, wind and rain against observations. A few things that surprised me: - AIFS performs very well, yet almost no commercial apps give you access to it or uses it in their blend (I suspect some do without disclosing it tho) - Foreca scores surprisingly well compared to other apps and raw models - ICON…
Aug 2026 · nickleenders.github.io
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Get smarter weather alerts only when the trend changes.
Apr 2026 · weatheranomaly.com
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2023 · earth.atmo.ai
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I have added OpenZones to Flowx, my Android weather app[0]. OpenZones are regions covering disaster zones where all the pro data in the app is freely available. I have created an 1200km diameter OpenZone over Florida with Hurricane Dorian approaching. So if you add Florida to the app, you can view radar, NOAA's GFS, NAM and HRRR models, CMC GDPS and RDPS models, and the DWD (Germany) ICON model. There are also predicted hurricane tracks from the NOAA and CMC ensemble models which I find extremely valuable to predict the possible paths of Dorian. This YouTube video[1] shows an example of the…
2019
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