A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.
noaa_coops
A Python wrapper for the NOAA CO-OPS Tides & Currents Data and Metadata APIs.
Installation
Supported on Python 3.10, 3.11, 3.12, and 3.13.
uv add noaa-coops
Or with pip:
pip install noaa-coops
Getting started
Stations
Data is accessed via Station objects identified by a NOAA station id:
>>> from noaa_coops import Station
>>> seattle = Station(id="9447130") # Seattle, WA
Find station IDs via the NOAA Tides & Currents mapping interface or search by bounding box:
>>> from noaacoops import getstationsfrombbox, Station
>>> stations = getstationsfrom_bbox(
... lat_coords=[40.389, 40.9397],
... lon_coords=[-74.4751, -73.7432],
... )
>>> stations
['8516945', '8518750', '8531680']
>>> Station(id="8516945").name
'Kings Point'
Metadata
Station metadata lives on the .metadata attribute, and individual fields are also promoted to top-level attributes on the Station object:
>>> seattle = Station(id="9447130")
>>> seattle.name
'Seattle'
>>> seattle.state
'WA'
>>> seattle.lat_lon
{'lat': 47.60264, 'lon': -122.3393}
Data inventory
Per-product first/last observation dates:
>>> seattle.data_inventory["Wind"]
{'startdate': '1991-11-09 00:00', 'enddate': '...'}
Note: The data inventory comes from NOAA's legacy SOAP endpoint and is
best-effort. If the service is unreachable,data_inventoryis set to{}
and a warning is logged โ Station() construction still succeeds.
Data retrieval
Data is returned as a pandas DataFrame indexed by timestamp. Column names mirror NOAA's response format.
>>> seattle = Station(id="9447130")
>>> df = seattle.get_data(
... begin_date="20150101",
... end_date="20150131",
... product="water_level",
... datum="MLLW",
... units="metric",
... time_z,
... )
>>> df.head()
v s f q
t
2015-01-01 00:00:00 1.799 0.023 0,0,0,0 v
2015-01-01 00:06:00 1.718 0.018 0,0,0,0 v
2015-01-01 00:12:00 1.639 0.013 0,0,0,0 v
2015-01-01 00:18:00 1.557 0.012 0,0,0,0 v
2015-01-01 00:24:00 1.473 0.014 0,0,0,0 v

Multi-month and multi-year ranges are automatically split into 31-day (or 365-day for hourlyheight / highlow) blocks and concatenated. If NOAA fails to return data for a block, you get a partial DataFrame along with a RuntimeWarning and a df.attrs["missing_blocks"] list describing which ranges failed โ downstream code can detect gaps instead of silently averaging across them.
Supported arguments
Values accepted by Station.get_data(...) โ see NOAA's API docs for the authoritative reference.
| Argument | Accepted values | |-------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | product | waterlevel, hourlyheight, highlow, dailymean, monthlymean, oneminutewaterlevel, predictions, datums, airgap, airtemperature, watertemperature, wind, airpressure, conductivity, visibility, humidity, salinity, currents, currentspredictions, ofswater_level | | datum | CRD, IGLD, LWD, MHHW, MHW, MTL, MSL, MLW, MLLW, NAVD, STND (case-insensitive). Required for water-level products. | | units | metric, english | | timezone | gmt, lst, lstldt | | binnum | Integer. Required for currents and currentspredictions. Find values on each station's info page. | | interval | Product-specific. predictions: h, 1, 5, 10, 15, 30, 60, hilo. currents: 6, h. currentspredictions: h, 1, 6, 10, 30, 60, maxslack. Forbidden on waterlevel, hourlyheight, oneminutewater_level. |
Accepted date formats
begindate and enddate accept any of:
"20150101"โ%Y%m%d"20150101 12:34"โ%Y%m%d %H:%M"01/15/2015"โ%m/%d/%Y"01/15/2015 23:59"โ%m/%d/%Y %H:%M
API etiquette
NOAA's CO-OPS APIs are public and free. There are no enforced rate limits but please be reasonable โ avoid tight loops against a single station and cache results when you can. This library uses connection pooling and automatic retries on transient failures (429 / 5xx) via a module-level requests.Session.
Contributing
Bug reports, feature requests, and PRs welcome. See CONTRIBUTING.md for dev-environment setup and the release workflow.