Labrador: Your Faithful Partner in Weather Data Retrieval
- Reliable and flexible weather data retrieval tool
- Supports querying the latest data and visualizing weather patterns
- Empowers meteorologists, researchers, and developers
Whether you’re developing weather applications, conducting climate research, or integrating weather data into your business processes, Labrador offers the reliability and flexibility you need. From querying the latest HRRR temperature data to visualizing complex weather patterns, Labrador empowers meteorologists, researchers, and developers to navigate the complexities of weather data retrieval with ease. It’s not just a tool; it’s your faithful partner in weather data retrieval.
How Does Labrador Work?
Labrador gives you access to metadata, models, observations, and time slices in your stack and direct access to each time slice for query. It is a Python library for interrogating your Boxer stack.
Labrador uses your favorite Python libraries.
- NumPy – scientific computing
- Xarray – Array manipulation
- Zarr – Cloud Native array storage
Example: Is it raining?
- Query Labrador for the latest radar mosaic
- Open the result as Zarr
- Iterate over user locations, querying a given lat,lon for each
Labrador Blog Posts
Introducing Labrador: The Future Of Weather Data Retrieval
Discover how the Labrador SDK is transforming weather data retrieval and why it will be a game-changer for meteorologists and developers.
Industries
Automotive
Aviation
Consumer
Have a project in mind?
We are a leading Software as a Service provider and charge according to the value we deliver. Our customers have the option to rent their own Boxer stack and gain access to our top-of-the-line Terrier front-end libraries. We handle a wide range of standard data sets, a routine practice. In addition, we also process custom data that you either purchase or generate yourself. Customization is where our expertise and innovation come into play, making things even more interesting. Let’s work together on your weather visualization project!