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).

READ FULL DOCS

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 version in pyproject.toml and the CHANGELOG.md.
Commit and push to master.
Tag the release (the python-v prefix avoids conflicts with R package tags):

git tag python-v1.0.0
git push origin python-v1.0.0

The Python-publish-PyPI workflow will automatically build, test, and upload to PyPI.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geobr-2.0.0.tar.gz (60.3 kB view details)

Uploaded Sep 9, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

geobr-2.0.0-py3-none-any.whl (51.6 kB view details)

Uploaded Sep 9, 2026 Python 3

File details

Details for the file geobr-2.0.0.tar.gz.

File metadata

Download URL: geobr-2.0.0.tar.gz
Upload date: Sep 9, 2026
Size: 60.3 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for geobr-2.0.0.tar.gz
Algorithm	Hash digest
SHA256	`a922ffca22d45b26d809c8caced66b75bf99392c80e8cc1fccc085d2b39b54ea`
MD5	`203212c65cf47a7b2025dcfe73cb5216`
BLAKE2b-256	`c302acd9760da35c876d6084727a6175587acaa4cfd022505decdd08f3c5d733`

See more details on using hashes here.

Provenance

The following attestation bundles were made for geobr-2.0.0.tar.gz:

Publisher: Python-publish-pypi.yaml on ipea/geobr

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: geobr-2.0.0.tar.gz
- Subject digest: a922ffca22d45b26d809c8caced66b75bf99392c80e8cc1fccc085d2b39b54ea
- Sigstore transparency entry: 2772304808
- Sigstore integration time: Sep 9, 2026
Source repository:
- Permalink: ipea/geobr@5696dacff4cdf93e82422752d5de51e819ea50ea
- Branch / Tag: refs/tags/python-v2.0.0
- Owner: https://github.com/ipea
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: Python-publish-pypi.yaml@5696dacff4cdf93e82422752d5de51e819ea50ea
- Trigger Event: push