Tornado API

ZoomRadar is a real-time weather intelligence platform delivering live, customizable radar maps powered by AI and machine learning. It's the first web-based weather platform offering AI-driven tornado detection on embeddable maps, using models trained on high-resolution Doppler radar data to identify tornado vortex and debris signatures with up to 90% accuracy for EF2+ tornadoes, refreshing every 4–5 minutes. The platform covers storm tracking, lightning detection, precipitation analysis, temperature and wind data, severe weather alerts, and 15-day forecasts built on NOAA data. Its embeddable radar widgets and iframe solutions let websites, media outlets, emergency management systems, and digital signage networks integrate real-time weather visualization with customizable locations, branding, and selectable overlays. Multi-site deployment with bulk pricing supports organizations needing weather intelligence across multiple locations.

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Tornado is different from most Python web frameworks. It is not based on WSGI, and it is typically run with only one thread per process. While some support of WSGI is available in the tornado.wsgi module, it is not a focus of development and most applications should be written to use Tornado’s own interfaces (such as tornado.web) directly instead of using WSGI. In general, Tornado code is not thread-safe. Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed freely with Tornado.