geoparquet-io
Fast I/O and transformation tools for GeoParquet files, powered by DuckDB and PyArrow.
- One interface for conversion, sorting, partitioning, and spatial indexing.
- CLI and Python API with full type hints.
- Unix pipes with Arrow IPC streaming—no intermediate files.
- Read/write to S3, GCS, Azure, HTTPS via DuckDB and obstore.
- Automatic Hilbert sorting, ZSTD compression, bbox columns.
- Add H3, S2, A5, quadkey, KD-tree spatial indices.
- Aggregate huge datasets into A5/H3 grid cells or admin regions for low-zoom visualization.
- GeoParquet 1.1 and 2.0 support, including Parquet geometry types.
Installation
uv tool install geoparquet-io # CLI (recommended)
uv add geoparquet-io # Python library
Or with pip:
pip install geoparquet-io
Documentation
Full documentation is available on the website.
Head to Getting Started to dig in.
Development
git clone https://github.com/geoparquet/geoparquet-io.git
cd geoparquet-io
uv sync --all-extras
uv run pytest
See Contributing Guide for details.
License
Release files for geoparquet-io 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geoparquet_io-1.5.0.tar.gz | 3.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geoparquet_io-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.5 MB
Release files / geoparquet_io-1.5.0.tar.gz
| Download URL | geoparquet_io-1.5.0.tar.gz |
|---|---|
| Size | 3.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / geoparquet_io-1.5.0-py3-none-any.whl
| Download URL | geoparquet_io-1.5.0-py3-none-any.whl |
|---|---|
| Size | 762.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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230c1538f0a15be0f4c46972a01cd9f508be491ca0659f8030256570887e40bb
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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
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.
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