Fetchez
Fetch geospatial data with ease.
Fetchez is a robust, highly modular and extensible Python framework designed to orchestrate complex geospatial data engineering workflows.
Originally developed as the core fetching engine for the CUDEM project, Fetchez has evolved into a standalone geospatial ETL platform. It seamlessly retrieves Bathymetry, Topography, Imagery, and Oceanographic data from dozens of global repositories (NOAA, USGS, Copernicus, ESA) and processes it on the fly.
📦 Installation
pip install fetchez
Optional Extensions: To enable module specific library dependencies, install with the desired extras:
pip install fetchez[full]
🐄 Quickstart
Fetch Copernicus topography and NOAA multibeam bathymetry for a specific bounding box in one command:
CLI
fetchez run -R loc:"Miami, FL" --global-hook audit copernicus multibeam
Or run a full processing pipeline from a YAML recipe:
fetchez recipes run recipes/my_dem_project.yaml
Python
import fetchez
# Fetch Electronic Nautical Chart data from NOAA
files = fetchez.get("charts", region=[-120, -118, 33, 34], hooks=['unzip', 'filename_filter:match=.000', 'audit'])
DEM Building with Globato
While Fetchez handles the data retrieval, data stream initiation and processing pipeline engine, its sister project and Fetchez extension, Globato, provides the multi_stack accumulators and mr-globato multi-resolution interpolation engines needed to turn those streams into production-grade Digital Elevation Models. Check it out!
📚 Documentation
Would you like to know more? Check out our Official Documentation to learn about:
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Modules & Bundles: Discover and learn about more than 100 public datasets available through Fetchez.
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The Python API: Build custom fetch modules and run full processing pipelines in your apps.
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Recipes & YAML: Build and run custom workflows from a simple YAML or JSON configuration.
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Hooks & Presets: Automate unzipping, filtering, and processing fetch modules.
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Recipe Modifiers: Catcha recipe before it runs and modify it on the fly at runtime.
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Domain Schemas: Enforce rigorous geospatial standards automatically.
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Custom Plugins: Write your own data fetch modules, processing hooks, extensions and recipes.
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Execution Lifecycle: Learn about the distinct phases (
manifest->file->stream->collection) of fetchez module hook processing.
🛠️ Used By
This project is used by the following open-source projects:
- globato - A full Fetchez extension, optimized hooks, modules, streams and more to aid in the development of DEMs.
- ivert - The ICESat-2 Validation of Elevations Reporting Tool.
- transformez - A standalone Python engine for converting geospatial data between vertical datums.
Are you using this project? Open a Pull Request to add your project to the list!
⚖ License
This project is licensed under the MIT License - see the LICENSE file for details.
Copyright (c) 2010-2026 Regents of the University of Colorado
Release files for fetchez 0.8.6
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Total release size: 3.0 MB
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