Fetchez
Fetch. Cache. Deliver.
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:
-
Modules & Bundles: Discover and learn about more than 100 public datasets available through Fetchez.
-
The Python API: Build custom fetch modules and run full processing pipelines in your apps.
-
Recipes & YAML: Build and run custom workflows from a simple YAML or JSON configuration.
-
Hooks & Presets: Automate unzipping, filtering, and processing fetch modules.
-
Recipe Modifiers: Catcha recipe before it runs and modify it on the fly at runtime.
-
Domain Schemas: Enforce rigorous geospatial standards automatically.
-
Custom Plugins: Write your own data fetch modules, processing hooks, extensions and recipes.
-
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 0.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fetchez-0.9.1.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fetchez-0.9.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 MB
Release files / fetchez-0.9.1.tar.gz
| Download URL | fetchez-0.9.1.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c3d0462c42c0ce348f833cde3361e2fff35e4a405f693e364735687eeda6cfec
|
|
BLAKE2b-256 checksum How to use checksums |
dab973d2211c45c0dc71f511166415e6a7535408764cc8a5828ca5d48a325b44
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 27, 2026.
Transparency logRelease files / fetchez-0.9.1-py3-none-any.whl
| Download URL | fetchez-0.9.1-py3-none-any.whl |
|---|---|
| Size | 1.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cfa516153f760cb8b9c27aef7e1535e596062617114c074e2b9ce67b51012eeb
|
|
BLAKE2b-256 checksum How to use checksums |
cf009320455ccd098873c1a2b46b38fbb90314d31414ba0634949925f5d15470
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 27, 2026.
Transparency log
