PyGeoHash

A simple, lightweight, and dependency-free Python library for working with geohashes.

Full docs at pygeohash.mcginniscommawill.com

What is PyGeoHash?

PyGeoHash is a Python module that provides functions for encoding and decoding geohashes to and from latitude and longitude coordinates, along with utilities for performing calculations and approximations with them.

It was originally based on Leonard Norrgård's geohash module, but now adds more functionality while supporting Python 3, and is optimized for performance.

Why PyGeoHash?

Zero Dependencies: Works with just the Python standard library
Simple API: Clean, intuitive functions that are easy to understand
Lightweight: Minimal overhead for your projects
Python 3 Support: Fully compatible with modern Python
Robust Implementation: Reliable geohash operations
Optional Visualization: Visualize geohashes with matplotlib and folium
Extensively Tested: Comprehensive test suite validated against geohash.org

Installation

# Basic installation
pip install pygeohash

# With visualization support
pip install pygeohash[viz]

Quick Start

import pygeohash as pgh

# Encode coordinates to geohash
geohash = pgh.encode(latitude=42.6, longitude=-5.6)
print(geohash)  # 'ezs42e44yx96'

# Control precision
short_geohash = pgh.encode(latitude=42.6, longitude=-5.6, precision=5)
print(short_geohash)  # 'ezs42'

# Decode geohash to coordinates
lat, lng = pgh.decode(geohash='ezs42')
print(lat, lng)  # '42.6', '-5.6'

# Calculate approximate distance between geohashes (in meters)
distance = pgh.geohash_approximate_distance(geohash_1='bcd3u', geohash_2='bc83n')
print(distance)  # 625441

# Get adjacent geohash
adjacent = pgh.get_adjacent(geohash='kd3ybyu', direction='right')
print(adjacent)  # 'kd3ybyv'

Visualization

PyGeoHash includes optional visualization capabilities:

# Plot a single geohash
from pygeohash.viz import plot_geohash
import matplotlib.pyplot as plt

fig, ax = plot_geohash("9q8yyk", color="red")
plt.show()

# Plot multiple geohashes
from pygeohash.viz import plot_geohashes

geohashes = ["9q8yyk", "9q8yym", "9q8yyj"]
fig, ax = plot_geohashes(geohashes, colors="viridis")
plt.show()

# Create interactive maps with Folium
from pygeohash.viz import folium_map

m = folium_map(center_geohash="9q8yyk")
m.add_geohash("9q8yyk", color="red")
m.add_geohash_grid(precision=6)
m.save("geohash_map.html")

Generating Example Visualizations

To generate example visualizations for the documentation, you can use the provided Makefile command:

# Install visualization dependencies
make install-viz

# Generate visualization examples
make viz-examples

This will create static images and interactive maps in the docs/source/_static/images directory.

Features

Encode coordinates to geohash strings
Decode geohash strings back to coordinates
Calculate approximate distances between geohashes
Find adjacent geohashes in any direction
Control precision of geohash encoding
Bounding box calculations
Visualize geohashes on static and interactive maps

Testing and Accuracy

PyGeoHash is extensively tested to ensure accuracy in geohash encoding and decoding:

Comprehensive Test Suite: Includes over 200 test cases covering various precision levels and geographic regions
Validated Against geohash.org: All test cases are validated against the reference implementation at geohash.org
Edge Case Coverage: Special attention to edge cases like poles, equator, date line, and precision boundaries
Roundtrip Consistency: Ensures encode->decode->encode operations produce consistent results
Regional Coverage: Test cases span all continents and major geographic features

To run the tests:

# Run the standard test suite
make test

# Run tests with coverage
make test-cov

Use Cases

Location-based services
Spatial indexing
Proximity searches
Geographic data clustering
Location encoding with privacy considerations
Geospatial data visualization

Blog Posts

For more insights about PyGeoHash, check out these blog posts:

Contributing

Contributions are welcome! Feel free to submit a Pull Request.

License

This project is licensed under the MIT license. See the LICENSE file for details. Prior to version 3.0.0's rewrite the project was licensed under the GPL-3.0 license.

Acknowledgments

Originally based on Leonard Norrgård's geohash module (since re-written)

Benchmarks

We did a rewrite of the core logic into cpython in v3.0.0 to improve performance and remove the dependency on geohash.py. Here is the performance part:

Version 3.0.0

Name (time in ns)	Min	Max	Mean	StdDev	Median	IQR	Outliers	OPS (Kops/s)	Rounds	Iterations
test_encode_benchmark	614.0035 (1.0)	1,170,750.9984 (1.34)	1,119.5566 (1.0)	6,011.2433 (1.35)	714.0043 (1.0)	664.4987 (7.30)	370;1371	893.2107 (1.0)	117772	1
test_approximate_distance_benchmark	901.9859 (1.47)	872,125.0051 (1.0)	1,346.1119 (1.20)	4,467.1457 (1.0)	1,031.0032 (1.44)	90.9786 (1.0)	463;13144	742.8803 (0.83)	71891	1
test_decode_benchmark	2,791.9887 (4.55)	3,266,092.0115 (3.74)	4,683.3561 (4.18)	22,447.8219 (5.03)	3,102.9922 (4.35)	2,965.2583 (32.59)	103;302	213.5221 (0.24)	26769	1
test_haversine_distance_benchmark	3,989.0001 (6.50)	1,066,400.9897 (1.22)	5,441.2395 (4.86)	10,068.4850 (2.25)	4,475.0050 (6.27)	330.0083 (3.63)	429;3534	183.7817 (0.21)	28312	1

Version 2.1.0

Name (time in ns)	Min	Max	Mean	StdDev	Median	IQR	Outliers	OPS (Kops/s)	Rounds	Iterations
test_approximate_distance_benchmark	903.0045 (1.0)	2,239,810.0118 (145.76)	1,242.2962 (1.0)	8,910.5317 (2.45)	1,034.0009 (1.0)	83.0041 (1.0)	411;12404	804,960.9836 (1.0)	126872	1
test_numba_point_decode_benchmark	5,554.9899 (6.15)	28,678.0123 (1.87)	11,125.8007 (8.96)	9,922.0335 (2.73)	6,597.9839 (6.38)	8,462.7463 (101.96)	1;1	89,881.1717 (0.11)	5	1
test_numba_point_encode_benchmark	6,829.9996 (7.56)	15,366.0076 (1.0)	8,949.4046 (7.20)	3,633.1020 (1.0)	7,203.9838 (6.97)	3,100.7585 (37.36)	1;1	111,739.2773 (0.14)	5	1
test_decode_benchmark	9,094.0157 (10.07)	564,207.9923 (36.72)	23,505.3902 (18.92)	47,847.8575 (13.17)	19,235.4928 (18.60)	10,221.4981 (123.14)	4;9	42,543.4333 (0.05)	156	1
test_encode_benchmark	16,131.9913 (17.86)	6,522,867.0137 (424.50)	43,962.7989 (35.39)	204,118.7023 (56.18)	30,353.0251 (29.35)	5,316.5204 (64.05)	12;160	22,746.5044 (0.03)	1081	1
test_haversine_distance_benchmark	19,751.9839 (21.87)	2,229,443.9841 (145.09)	24,979.8646 (20.11)	27,057.9632 (7.45)	21,632.0041 (20.92)	1,626.0019 (19.59)	453;3700	40,032.2426 (0.05)	24647	1
test_numba_vector_decode_benchmark	887,114.0017 (982.40)	1,070,945.9893 (69.70)	974,148.7971 (784.15)	72,131.5386 (19.85)	977,645.9774 (945.50)	111,056.4845 (>1000.0)	2;0	1,026.5372 (0.00)	5	1
test_numba_vector_encode_benchmark	6,603,729.9985 (>1000.0)	9,492,440.0037 (617.76)	8,344,232.0058 (>1000.0)	1,069,465.9606 (294.37)	8,602,735.0044 (>1000.0)	1,065,492.2444 (>1000.0)	2;0	119.8433 (0.00)	5	1

Development Status
- 3 - Alpha
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Programming Language
- Python :: 3
Typing
- Typed

Download files

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

Source Distribution

pygeohash-3.3.1.tar.gz (43.3 kB view details)

Uploaded Jul 17, 2026 Source

Built Distributions

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.

pygeohash-3.3.1-cp314-cp314t-win_amd64.whl (36.6 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tWindows x86-64

pygeohash-3.3.1-cp314-cp314t-win32.whl (35.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tWindows x86

pygeohash-3.3.1-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (48.0 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tmanylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp314-cp314t-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.6 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tmanylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp314-cp314t-macosx_11_0_arm64.whl (33.9 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tmacOS 11.0+ ARM64

pygeohash-3.3.1-cp314-cp314t-macosx_10_15_x86_64.whl (33.7 kB view details)

Uploaded Jul 17, 2026 CPython 3.14tmacOS 10.15+ x86-64

pygeohash-3.3.1-cp314-cp314-win_amd64.whl (36.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.14Windows x86-64

pygeohash-3.3.1-cp314-cp314-win32.whl (35.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.14Windows x86

pygeohash-3.3.1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (46.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.14manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp314-cp314-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (45.2 kB view details)

Uploaded Jul 17, 2026 CPython 3.14manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp314-cp314-macosx_11_0_arm64.whl (33.8 kB view details)

Uploaded Jul 17, 2026 CPython 3.14macOS 11.0+ ARM64

pygeohash-3.3.1-cp314-cp314-macosx_10_15_x86_64.whl (33.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.14macOS 10.15+ x86-64

pygeohash-3.3.1-cp313-cp313-win_amd64.whl (36.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.13Windows x86-64

pygeohash-3.3.1-cp313-cp313-win32.whl (35.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.13Windows x86

pygeohash-3.3.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (46.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.13manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (45.2 kB view details)

Uploaded Jul 17, 2026 CPython 3.13manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp313-cp313-macosx_11_0_arm64.whl (33.8 kB view details)

Uploaded Jul 17, 2026 CPython 3.13macOS 11.0+ ARM64

pygeohash-3.3.1-cp313-cp313-macosx_10_13_x86_64.whl (33.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.13macOS 10.13+ x86-64

pygeohash-3.3.1-cp312-cp312-win_amd64.whl (36.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.12Windows x86-64

pygeohash-3.3.1-cp312-cp312-win32.whl (35.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.12Windows x86

pygeohash-3.3.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (46.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.12manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (45.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.12manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp312-cp312-macosx_11_0_arm64.whl (33.8 kB view details)

Uploaded Jul 17, 2026 CPython 3.12macOS 11.0+ ARM64

pygeohash-3.3.1-cp312-cp312-macosx_10_13_x86_64.whl (33.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.12macOS 10.13+ x86-64

pygeohash-3.3.1-cp311-cp311-win_amd64.whl (36.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.11Windows x86-64

pygeohash-3.3.1-cp311-cp311-win32.whl (35.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.11Windows x86

pygeohash-3.3.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (45.9 kB view details)

Uploaded Jul 17, 2026 CPython 3.11manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (44.7 kB view details)

Uploaded Jul 17, 2026 CPython 3.11manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp311-cp311-macosx_11_0_arm64.whl (33.7 kB view details)

Uploaded Jul 17, 2026 CPython 3.11macOS 11.0+ ARM64

pygeohash-3.3.1-cp311-cp311-macosx_10_9_x86_64.whl (33.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.11macOS 10.9+ x86-64

pygeohash-3.3.1-cp310-cp310-win_amd64.whl (36.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.10Windows x86-64

pygeohash-3.3.1-cp310-cp310-win32.whl (35.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.10Windows x86

pygeohash-3.3.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (45.9 kB view details)

Uploaded Jul 17, 2026 CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (44.6 kB view details)

Uploaded Jul 17, 2026 CPython 3.10manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp310-cp310-macosx_11_0_arm64.whl (33.7 kB view details)

Uploaded Jul 17, 2026 CPython 3.10macOS 11.0+ ARM64

pygeohash-3.3.1-cp310-cp310-macosx_10_9_x86_64.whl (33.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.10macOS 10.9+ x86-64

pygeohash-3.3.1-cp39-cp39-win_amd64.whl (36.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.9Windows x86-64

pygeohash-3.3.1-cp39-cp39-win32.whl (35.1 kB view details)

Uploaded Jul 17, 2026 CPython 3.9Windows x86

pygeohash-3.3.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (45.8 kB view details)

Uploaded Jul 17, 2026 CPython 3.9manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

pygeohash-3.3.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (44.5 kB view details)

Uploaded Jul 17, 2026 CPython 3.9manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

pygeohash-3.3.1-cp39-cp39-macosx_11_0_arm64.whl (33.7 kB view details)

Uploaded Jul 17, 2026 CPython 3.9macOS 11.0+ ARM64

pygeohash-3.3.1-cp39-cp39-macosx_10_9_x86_64.whl (33.4 kB view details)

Uploaded Jul 17, 2026 CPython 3.9macOS 10.9+ x86-64

File details

Details for the file pygeohash-3.3.1.tar.gz.

File metadata

Download URL: pygeohash-3.3.1.tar.gz
Upload date: Jul 17, 2026
Size: 43.3 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pygeohash-3.3.1.tar.gz
Algorithm	Hash digest
SHA256	`6d22d11d33082ad54f53a839ea4ecb978d476aba6a32a422e772f401420c6d82`
MD5	`876d98f3a57e5f61767a76d2ca801314`
BLAKE2b-256	`af84957ffcb3e859dba6c8a0ad8003657b065345248d29f3777ae0e9de8f8ff1`

Algorithm	Hash digest
SHA256	`331809fcab2867ce8284f8cc4ec97f5b8ce8fb153467102d71954655828df155`
MD5	`6bbf00444c7b6e40b3405e90317104ed`
BLAKE2b-256	`e568389ff22797c7e98814865f40135e1854b40ae3a2fa1a9e113f60a74885e1`

Algorithm	Hash digest
SHA256	`721e0e0ed98bef2bff16963ebb3a4fa8d6f3632ee1a2ec90e990fa3b3ab9b4ab`
MD5	`378364fb07ceae465b4ea9276127fb27`
BLAKE2b-256	`86fb4e994ed40c84be4727cd220bec0b3431a40c14b82b5c5deda48e58295760`

Algorithm	Hash digest
SHA256	`23bc43b7e92472e779502d961b80305514dbc44cd14db4b5e79e4426cd6f9ac6`
MD5	`4d3274147554d2154d79d7641b8cfbce`
BLAKE2b-256	`816979fb439f206eecc7eb562231ea1fb4ba403f016e3bf03a5f8c502f53e067`

Algorithm	Hash digest
SHA256	`7df60a1658aff95835e8f17cbde08c469a631897538ed82a65efdeef67dd232c`
MD5	`3fe6f3a81d16c5ab27eaae287fdb17ac`
BLAKE2b-256	`f2e996a4a102e2b40d6b89bed3883f5ea208f56c714e3da8ed15867cc07ef731`

Algorithm	Hash digest
SHA256	`e8180304ac968e81f0cf72a1e314b8da03cf1e1b4e50ccb5013412f8ffda6231`
MD5	`348c516ea1e3189140e32f9c74fb9c2c`
BLAKE2b-256	`b4ba53b6cc32a40fe0b45fbfd3dca566cfdc6ef6c996b2f12e9df0faf7d6015d`

Algorithm	Hash digest
SHA256	`cbf85e95413c4f14c85034115b571a2225a41b61c64c0ca292553f62e41634b9`
MD5	`2293d45e976ddb40cc8a59dd530b9f4b`
BLAKE2b-256	`aae90cd2c379656ff50f4066798468dce6bdfcd699388851c7a73e911b48c82f`

Algorithm	Hash digest
SHA256	`602fcfc025f108873440f07021f5c473ddb8d2e276c3d82d18d12482fbc8ee82`
MD5	`a7cbe63e746a7213a2a0d44a48a50799`
BLAKE2b-256	`8b505cf07f5f1c631bf093d7423ba2755758406cb4f542589055c3d094635a97`

Algorithm	Hash digest
SHA256	`e49671cf80fc444b96f3b2db43970a99fb94406111b5b32f984d3ef1121928fb`
MD5	`4376e6b3cfc03682b89e5660ae46a1da`
BLAKE2b-256	`3a6fcf3a34aeccdc6ccb279cebcfd342f8d807d6806190bd240f403bf29add22`

Algorithm	Hash digest
SHA256	`a1c280daa6062e2d002de67966c6aa7ab7e0963d7bdc6eb6b6338c217c15d4c7`
MD5	`fea48b28d18c2ff79df66f494f32e0c7`
BLAKE2b-256	`03f83fcd8c66c26ac4e3172b26c4fafd40c454ef09c376f6c2d6ff36659ee60d`

Algorithm	Hash digest
SHA256	`6a3c83392d60ea8723ea56a8b554ae705f34725ab7231ec881f6efc5c3023ec7`
MD5	`3e89a568d363b1c0e469f1934fff1864`
BLAKE2b-256	`4ec8a2b6a3cc2399b06dfbb891cfe634e8136586f45615b191faadbb3517e30c`

Algorithm	Hash digest
SHA256	`8174d9840bb8ed7bc93b7d133cf616789ec2e89437dfb2783346105f1fc281d8`
MD5	`a8a23fdea2815bfefaf99813a8df2cea`
BLAKE2b-256	`4c47ca0a0b6a68273f48a859f266f3e9746f06dc6c118efd69ef2b99194dd1f2`

Algorithm	Hash digest
SHA256	`a3b844d5668a8897e9912a27d7f9c33dabe3d1570804ee53bd740e18ca0f6e29`
MD5	`9c7e0aa9c7ec158317a9bba4bd2d14fd`
BLAKE2b-256	`310929fed7935bc1bb4c63fb4b7ab2f21bc7bd9db760baa3327e883da22070af`

Algorithm	Hash digest
SHA256	`bd3f98f15df72d3993edee5e694ed35f3261cb36222edf4e7341098b80174cb3`
MD5	`7784b7a1315ca22ca36b0d8311769a04`
BLAKE2b-256	`965c9af7623c03351a0d8f2bc9eeaae269fc4a7aaac5670482329d5cba1a3c53`

Algorithm	Hash digest
SHA256	`5a2d2c2a80162354d9f0f8ec4864903a7c49f0376ebf043b3b7d72b560d1b6d9`
MD5	`f1fac257d5d72291233e5a273d70adff`
BLAKE2b-256	`6ef853435d276c9db06e292ff0e5cb146a7ed6ae59a6798ba9b5316c02fa8200`

Algorithm	Hash digest
SHA256	`dde1f4d9e8ecdf2326c5b5b9def17db45a628d2b5e2edefa292d0a1407156a4a`
MD5	`f4dd365ba223e6090f0e3c7aed40df2c`
BLAKE2b-256	`1ffbd05de2451a6b202c9b2e9b8fe4f334cbc1dcc848f6316d94ae73f1b5053f`

Algorithm	Hash digest
SHA256	`9fc068b3dcb4711a24c2ae82c9f80fb4768ee0579ccf72cbcf13780db225522b`
MD5	`eca2194235bd702bac0ba1f3923b6119`
BLAKE2b-256	`50cf6055df87ea2f2a5034deb3713242acfab554596cfbaaa64dbbaa997b0c05`

Algorithm	Hash digest
SHA256	`8a637f87914627dde9efef764a21948d94f57855197f8c1386e990ae46f6ced5`
MD5	`deffa1830fc380af4a86e5ae456e0905`
BLAKE2b-256	`b1d78c733f2aec25f148d9150d5d679970e4fb79da50ee0d144d9f2426813a24`

Algorithm	Hash digest
SHA256	`3ee21b9cab573097bfd6fca2705d093ffb0e6634012602b764f2e2fc7a5ee87f`
MD5	`081790da69df4d0fe15f929451add0cc`
BLAKE2b-256	`29e7464d45b2c138b3b0c5d05b61a2adf98479cb9243780691ce7f89c9a8bd12`

Algorithm	Hash digest
SHA256	`10319a8c4b2409af98ba57db81603750f348d286230047b5287ddcbe27acaafd`
MD5	`ad2e38a5614739d4f9fd5598636550de`
BLAKE2b-256	`6e9b380afa55d5b6cc7e1432ca79df2aca5e72e9ac2e0fd2dbd4a7d35e910975`

Algorithm	Hash digest
SHA256	`f329fa667de644e8988a0d7dddd6424f33c5082c6c46311ef52136aa8b558a99`
MD5	`82ec0e8a96d3cfdd8ac89dd93ecb7206`
BLAKE2b-256	`8a0b8b5c865b97335e5069ca150c1971cc77bdc5a1fe6f657eae768fa1a7b994`

pygeohash 3.3.1

PyGeoHash

What is PyGeoHash?

Why PyGeoHash?

Installation

Quick Start

Visualization

Generating Example Visualizations

Features

Testing and Accuracy

Use Cases

Blog Posts

Contributing

License

Acknowledgments

Benchmarks

Version 3.0.0

Version 2.1.0

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License

Requires

Provides Extra

Tags

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

Algorithm	Hash digest
SHA256	`d1f1885f8cbb9296d57eee3a3eef32fbcb5bc0ec91622760c59e40b0a9159e84`
MD5	`41788ace7582f33abfe8bd57db7c5f9c`
BLAKE2b-256	`4dbf60c78783a365b48c21a7d430f575a2adcfdd5f7a34739b141001156bc20f`

Algorithm	Hash digest
SHA256	`dbe424e7b35a323c486041db45c9006a0dad6e231a31d99f4aa68fc9154d91f8`
MD5	`bd0208918e1edfad7d939d069fcd543f`
BLAKE2b-256	`fa5927e0ab66327e3e8090a08d3344c3b343e7d7ecc2b00028eb5c3ab3a1aa07`

Algorithm	Hash digest
SHA256	`e6c8438185efd6b67d0e18cd8a9e77988c4349e26f27a6e66f05415dbbd99d00`
MD5	`f77bfb91245e6fce82cc761920671945`
BLAKE2b-256	`965fc57391ef6b57ed709b3eb858b374f45d3d430396e422b09b458dcdf85bbb`

Algorithm	Hash digest
SHA256	`bcfc707cdf6e7df6aecd31884629763ad08645fd05bcf291e37ab3468175ac7a`
MD5	`f4f919fb49782e8bc3c959c443badc9a`
BLAKE2b-256	`8bdb5836e72ea370a4cc84ff248b9e06c240990b2d9b0361551d07c5459f144e`

Algorithm	Hash digest
SHA256	`3bc40d0bd2f9ea35d388003a945f7ed66ef7f1f15a77c0ca7bb93cd7fb4f979c`
MD5	`590ab8be9628d2cfaecc22b35d2cb012`
BLAKE2b-256	`033288899e6c17dff429a5ff58f99d9c14d9ed0d81af67782b19da12de4fee5c`

Algorithm	Hash digest
SHA256	`eaa5805cf5ba3bb1533909c22c454d1e5afbd203c9d26490693a5396d0425fcb`
MD5	`8f15c4d45c71699fc57137a8fd532734`
BLAKE2b-256	`989179d01ed473fdb177f93069bd8b8a9425440f9ace7e7fd6fc40da9fa3e393`

Algorithm	Hash digest
SHA256	`e1b8de23e90d711e973d21889076446899d5afc3511f4ebd801f20efb9a127c4`
MD5	`a2be76fdb06156a2b28ed8587b10e68e`
BLAKE2b-256	`cc23e3bac8de3d554f4f78894e95f75b9dad13473740ff211805a2d159265a6a`

Algorithm	Hash digest
SHA256	`228a1fc6276228bcfa6b36804e123aa0e447b73c146117b61e793228a94da661`
MD5	`37cbd1d76b23ecb2e2df501bddd728fd`
BLAKE2b-256	`fae186c1fd449c54f0e58d91206b7d0a85a09ced7cc681e3dbcb6c274e5f3963`

Algorithm	Hash digest
SHA256	`98ec51eac37523fbfd21cc9f786657736abeb80ed0f174a1fe4f7f2a94a4ed52`
MD5	`8f13c3f345dec1eec5acb46a42907add`
BLAKE2b-256	`5c3f1027d47c569d57f576df0b5eee423a7fb4eca0ee0ea3ae87da0a4389c766`

Algorithm	Hash digest
SHA256	`9d8986ce363a4c9f4fed21ba628b5c9d1e4140c521ea1eb7c6fd58bcea286ba7`
MD5	`c211b7fd2d268e5e926e3c72426d6b3b`
BLAKE2b-256	`5465ebc32a1a7795bc9ee3fc3e6449496f462f77a865fdb23a36560a763e4743`