Omnigraph
그래프 엔진으로 컨텍스트를 조립하고, 객체 저장소 기반에서 에이전트가 코드처럼 그래프 데이터를 분기·타입·검토·병합·감사·거버넌스합니다
유럽 산불 확산 현황·진행 속도·피해 현황을 실시간으로 확인, 오픈소스·계정 없이 이용
See how wildfires are spreading across Europe — where they are burning now, how fast they are growing, and what they have already destroyed. Open source, no account needed.
데이터TypeScript · PythonGitHub @robinef온라인운영자 미확인
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See how wildfires are spreading across Europe — where they are burning right
now, how fast they are growing, and what they have already destroyed.
⚠ Not an emergency service. This map visualises public satellite data,
which can be hours old and is never an official alert. If you are in danger,
call 112 and follow your local authorities.README 전문 보기 ↗See how wildfires are spreading across Europe — where they are burning right now, how fast they are growing, and what they have already destroyed.
⚠ Not an emergency service. This map visualises public satellite data, which can be hours old and is never an official alert. If you are in danger, call 112 and follow your local authorities.
Most fire maps answer one question: where is it burning? They show today's dots and forget yesterday's. But the story people actually need is time — fire seasons are getting longer and more intense, and each individual fire has a history: when it started, which way it ran, how much it took.
FireMapper is built around that. Every view is about change over time, and the whole thing is free, open, and needs no account.
Start with the overview — active fires and recent burn scars across Europe. The bar chart along the bottom is one bar per day: click any day to see where fire was burning that day. A badge tells you whether this week is worse than the last.
Click a fire to open its card. The map flies in and everything becomes about that one fire: how big it is, when it ignited, whether it is still growing, which way it is spreading, the nearest town. Its burn footprint is coloured by when each patch caught — and clicking a bar in its history rewinds the fire, so you can watch it grow.
See the damage. For fires that have already burned, a before/after slider compares satellite imagery of the same place — green forest on one side, black scar on the other.
You need uv (Python) and Node.
make setup # install dependencies
make sample # build a demo dataset — no API key, no account
make dev # open the map at http://localhost:5173
That's it — no server, no database to run. The map reads plain static files.
make sample needs no key: the keyless sources (Meteosat intensity, wind) are
real and live, and the fire history is synthetic so the demo is never empty.
Want the real fire history too? Get a free
NASA FIRMS key, drop it in
.env (copy .env.example), then make refresh-full — 30 days of real VIIRS
detections replace the synthetic ones. make refresh-fast updates only the live
layers and never needs a key.
Issues and pull requests are welcome — see CONTRIBUTING.md to get started, and the Code of Conduct for the ground rules.
Good first contributions: more curated historical fires
(pipeline/notable_scars.json is plain data),
translations, colour-blind-safe palettes, or accessibility fixes.
Built on open data from NASA FIRMS, EUMETSAT, Copernicus, Open-Meteo, GeoNames, and OpenStreetMap. Thank you to everyone who keeps those services public.
MIT © Frederic Robinet