Buoyant
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About
Buoyant is an open-source marine data aggregator designed to streamline the retrieval of oceanographic conditions from various NOAA APIs. Originally developed as the backend for the rideai project—which generated automated surf reports—this tool simplifies the process of accessing fragmented maritime data. It provides a unified interface for developers to pull information regarding wave height, wind speed, tide levels, and water temperature. By consolidating these streams, it removes the need to navigate multiple individual government data endpoints, making it a functional resource for developers who need to integrate real-time maritime conditions into their own software projects. Technically, the library addresses the lack of a native spatial lookup feature in NOAA public APIs. It includes substantial local datasets, such as a 37MB weather station list, to perform fast proximity searches without the latency typically associated with multiple remote queries. The system utilizes geohashes for tide station discovery and an expanding ring search algorithm to find wave data in NWS gridpoints when primary buoy data is unavailable. This ensures that users receive the most relevant information for their coordinates, even if a specific sensor is offline or the coverage in a particular coastal area is sparse. The tool is optimized for developers, researchers, and hobbyists building applications like maritime navigation aids, coastal monitoring platforms, or automated weather reporting systems for US coastal regions. It supports data retrieval via US zip codes, specific coordinates, or buoy IDs, offering flexibility for various use cases. While its coverage is comprehensive for the US mainland, Hawaii, Alaska, and territories like Puerto Rico, it is strictly limited to coastal areas. The library includes built-in logic to validate locations, typically requiring points to be within ten miles of the coast, and will return an error if an inland location is queried. What sets Buoyant apart is its pragmatic approach to handling the inherent inconsistencies of government sensor data. It interprets complex fields such as wave steepness classifications and uses a custom validation method to verify coastal boundaries instantly via geojson files. By bundling necessary station metadata directly into the codebase, it reduces the complexity and potential failure points of real-time spatial queries. This makes it a reliable foundation for data-heavy projects that require consistent access to oceanographic information without the necessity of building custom backend spatial logic from the ground up.
Pros & Cons
Provides a unified interface for multiple disparate NOAA data sources.
Local spatial indexing avoids slow remote API calls for station discovery.
Supports zip code resolution without requiring external geocoding APIs.
Handles NWS gridpoint wave data gaps with expanding ring search.
Built-in coastal validation prevents errors for inland queries.
Data is limited exclusively to US coastal waters and territories.
Government server timeouts or offline buoys can cause data gaps.
Repository size is relatively large due to bundled station metadata.
Data can be delayed by up to two hours relative to real-time events.
Use Cases
Software developers can integrate the library into coastal recreation apps to provide users with live wave, wind, and tide conditions via a single API.
Maritime researchers can use the command-line tool to quickly generate consolidated reports on sea state conditions for specific US coordinates.
AI engineers can leverage the pre-processed data streams to provide reliable inputs for models predicting surf quality or localized weather patterns.
Platform
Task
Features
• command line interface
• node.js library integration
• spatial geohash indexing
• coastal boundary validation
• water temperature monitoring
• tide level predictions
• wind speed tracking
• real-time wave reporting
FAQs
What regions are covered by the Buoyant library?
Coverage includes all US mainland coastal waters across the Atlantic, Pacific, and Gulf of Mexico, as well as the Great Lakes, Hawaii, Alaska, Puerto Rico, USVI, and Guam. It is specifically calibrated for these regions and will not function for international waters.
How often is the marine data updated?
Update frequency varies by source: NDBC buoys typically update every 30 to 60 minutes, while CO-OPS tide stations provide updates every 6 minutes. Users should note that data can sometimes be delayed by 1 to 2 hours.
Why does the repository include such large JSON files?
The 37MB nwsStations.json file enables rapid spatial lookups without multiple slow API calls, which is necessary because NOAA lacks a native endpoint for finding stations near a specific location.
What happens if I query an inland location?
The tool includes a coastal boundary validation check using pre-computed GeoJSON files and will throw an error if the location is not within approximately 10 miles of a coast.
How does the library find wave data if a nearby buoy is offline?
If buoy data is unavailable, the library implements an expanding ring search to query neighboring NWS gridpoints for wave forecast data until a valid data point is found.
Pricing Plans
Open Source
Free Plan• MIT License
• Wave conditions (height/period/direction)
• Wind speed and gusts
• Tide levels and predictions
• Water temperature data
• US Coastal coverage validation
• CLI and Library support
• Spatial geohash indexing
Job Opportunities
There are currently no job postings for this AI tool.
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