---
id: geohash2
version: "1.1"
license: GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
license_treatment: agpl
maintenance: abandoned
---

# geohash2 — (Geohash fixed for python3) Module to decode/encode Geohashes to/from latitude and longitude.  See http://en.wikipedia.org/wiki/Geohash

License: agpl · Maintenance: abandoned · Downloads: 990.2K/mo

## What it is and what it does

geohash2 is a Python module for converting between geographic coordinates (latitude/longitude) and geohash strings. Geohashes are compact alphanumeric representations of locations that encode spatial proximity—nearby coordinates produce similar hashes. The module provides two main functions: encode() converts coordinates to a geohash string with configurable precision (number of characters), and decode() reverses the process. It also offers decode_exactly() which returns the decoded coordinates along with error margins, quantifying the precision loss inherent in the geohash encoding.

The package has no runtime dependencies and is straightforward to use for location-based applications that need compact coordinate representations. However, it has been abandoned since July 2017 with no updates, and the build is source-only (high install friction), making it risky for new projects unless you can verify it works on your target Python version.

Use it for:

- Store geographic locations compactly in databases or caches using geohash strings instead of separate lat/lon columns.
- Perform spatial proximity queries by comparing geohash prefixes to find nearby locations without distance calculations.
- Implement geotagging systems where coordinates are encoded into short, human-readable location identifiers.
- Build location-based caching or indexing where geohash precision controls the granularity of spatial buckets.
- Validate coordinate precision and understand error margins when converting between exact coordinates and geohash representations.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Encodes latitude/longitude coordinates to geohashes and decodes geohashes back to coordinates with optional error margins.

No. The package is abandoned (last release July 2017, no maintenance since), has high install friction (source-only distribution), and Python version support is unspecified. AGPL licensing adds legal complexity for commercial or networked deployments. For new projects, prefer an actively maintained geohash library or implement geohashing directly using a well-supported dependency.

## Install

pip install geohash2
uv add geohash2
poetry add geohash2

## Installing geohash2

Before you install: High install friction due to source-only distribution (tar.gz). Package is abandoned—last release July 2017, no commits since, though the repository remains publicly available.

License in practice: Licensed under GNU Affero General Public License v3 or later. AGPL requires that any modifications or derivative works be released under the same license, and networked use may trigger copyleft obligations depending on deployment context.

Quickstart:

pip install geohash2

import geohash2
geohash = geohash2.encode(42.6, -5.6, precision=5)
print(geohash)  # ezs42
lat, lon = geohash2.decode('ezs42')
print(lat, lon)

Package requires compilation or has no pre-built wheels; Python version support is unspecified and may be limited to older versions.

Verify before relying:

- Whether the package actually builds and runs on modern Python versions (3.10+) given the 2017 last release date.
- Whether high install friction is due to missing wheels or actual build dependencies.
- Current maintenance status and whether the repository accepts pull requests or has an active maintainer.

## Package facts

- License: GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. (agpl)
- Python support: unspecified
- Install friction: high
- Maintenance: abandoned
- Downloads: 990.2K/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

geohash encode decode, latitude longitude to geohash, geographic coordinate hashing, geohash precision, gis coordinate encoding, location geohashing, geohash error margin, geospatial, abandoned-unmaintained

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