geobr: Download Official Spatial Data Sets of Brazil
geobr is a computational package to download official spatial data sets of Brazil. The package includes a wide range of geospatial data in geopackage format (like shapefiles but better), available at various geographic scales and for various years with harmonized attributes, projection and topology (see detailed list of available data sets below).
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Contribute
To start the development environment run
uv sync
Test with
uv run pytest -n auto
You can use a helper to translate a function from R.
If you want to add read_biomes, just run
uv run python helpers/translate_from_R.py read_biomes
It will scrape the original R function to get documentation and metadata. It adds:
- default year
- function name
- documentation one liner
- larger documentation
- very basic tests
Be aware that if the function that you are adding is more complicated than the template. So, always double check.
Release new version
- Update
versioninpyproject.tomland theCHANGELOG.md. - Commit and push to
master. - Tag the release (the
python-vprefix avoids conflicts with R package tags):
git tag python-v1.0.0
git push origin python-v1.0.0
- The
Python-publish-PyPIworkflow will automatically build, test, and upload to PyPI.
3 maintainers
Release files for geobr 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geobr-2.1.0.tar.gz | 64.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geobr-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 117.4 kB
Release files / geobr-2.1.0.tar.gz
| Download URL | geobr-2.1.0.tar.gz |
|---|---|
| Size | 64.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5be583bd4e97034e90a65957245f1d007e9c7ff79cb03dbc079ba0744d4ac971
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Sep 18, 2026.
Transparency logRelease files / geobr-2.1.0-py3-none-any.whl
| Download URL | geobr-2.1.0-py3-none-any.whl |
|---|---|
| Size | 53.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3be79f098adcf832329e57f0eeb1452214aad94c8fab65bd71fb9be5e4b365a5
|
|
BLAKE2b-256 checksum How to use checksums |
c56aad98aad8ed08a9aa2d3df6068e1cb00a11c7dbdfd5aa2bf2b37bc1ddf3ce
|
| 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 18, 2026.
Transparency log
