python-geohash
Fast, accurate python geohashing library
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is actively maintained, has no known vulnerabilities, and is widely used. Install friction is moderate due to the compiled extension, but prebuilt wheels are available for common platforms. Verify the exact Python version support and confirm the license terms (Apache License 2.0, MIT License, or New BSD License) match your project's requirements before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible CPU architecture; prebuilt wheels are available for manylinux2014 x86_64, but other architectures may require compilation.
- Medium install friction due to a compiled Rust extension (PyO3-based).
- The package is actively maintained with a recent release 73 days ago and no known vulnerabilities.
License · maintenance · safety
(unclear) — License treatment is unclear: the package states it is licensed under Apache License 2.0, MIT License, and New BSD License, but PyPI metadata does not specify which applies. Verify the LICENSE file in the repository to confirm the exact terms before use.
last release 2026-06-02 (73 days) · last repo commit 2026-06-12 · 326 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 560,758 downloads/mo, #6,001 on PyPI
Alternatives
Verify before relying
pip install python-geohash
import geohash
encoded = geohash.encode(latitude, longitude)
decoded = geohash.decode(encoded)- Exact Python version support range (requires_python is unspecified in metadata)
- Whether the Rust extension is optional or required for core functionality
- Performance characteristics compared to pure-Python fallback (mentioned in description)
What it is and what it does
python-geohash is a library for converting geographic coordinates (latitude/longitude) into geohash strings—compact, hierarchical representations of locations. Geohashes are useful for spatial indexing, proximity searches, and storing location data efficiently in databases. The library uses a Rust extension (via PyO3) for speed, though it can fall back to a pure-Python implementation if needed.
The package has been maintained since 2009 and is actively developed; version 0.9.0 switched from a C/C++ extension to Rust. It supports both encoding (coordinates to geohash) and decoding (geohash back to coordinates), making it suitable for applications that need fast, accurate location-based operations.
Use it for
- Index geographic locations in a database for fast spatial queries and proximity searches.
- Compress latitude/longitude pairs into short strings for URLs, APIs, or storage.
- Group nearby locations by shared geohash prefixes for clustering or regional analysis.
- Build location-based services that need to find points within a certain distance of a query location.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is actively maintained, has no known vulnerabilities, and is widely used. Install friction is moderate due to the compiled extension, but prebuilt wheels are available for common platforms. Verify the exact Python version support and confirm the license terms (Apache License 2.0, MIT License, or New BSD License) match your project's requirements before committing.
Install
python-geohash on PyPI
Before you install
Medium install friction due to a compiled Rust extension (PyO3-based). The package is actively maintained with a recent release 73 days ago and no known vulnerabilities. Prebuilt wheels are available for common platforms, reducing build-time friction for standard environments.
Requires a compatible CPU architecture; prebuilt wheels are available for manylinux2014 x86_64, but other architectures may require compilation.
License in practice
License treatment is unclear: the package states it is licensed under Apache License 2.0, MIT License, and New BSD License, but PyPI metadata does not specify which applies. Verify the LICENSE file in the repository to confirm the exact terms before use.
Quickstart
pip install python-geohash
import geohash
encoded = geohash.encode(latitude, longitude)
decoded = geohash.decode(encoded)Verify before relying
- Exact Python version support range (requires_python is unspecified in metadata)
- Whether the Rust extension is optional or required for core functionality
- Performance characteristics compared to pure-Python fallback (mentioned in description)
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 73 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 560,758 / month, #6,001 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: python_geohash-0.9.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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See also geolib · pygeohash · geohash2 · polyline · h3 · overpy · py-geohex3 · pyGeoTile · flexpolyline · gps3