Skip to main content

Python Non-cryptographic Hash Library

Project description

Introduction pypi Travis CI Status codecov

pyhash is a python non-cryptographic hash library.

It provides several common hash algorithms with C/C++ implementation for performance and compatibility.

>>> import pyhash
>>> hasher = pyhash.fnv1_32()

>>> hasher('hello world')

>>> hasher('hello', ' ', 'world')

>>> hasher('world', seed=hasher('hello '))

It also can be used to generate fingerprints without seed.

>>> import pyhash
>>> fp = pyhash.farm_fingerprint_64()

>>> fp('hello')
>>> 13009744463427800296L

>>> fp('hello', 'world')
>>> [13009744463427800296L, 16436542438370751598L]


hasher('hello', ' ', 'world') is a syntax sugar for hasher('world', seed=hasher(' ', seed=hasher('hello'))), and may not equals to hasher('hello world'), because some hash algorithms use different hash and seed size.

For example, metro hash always use 32bit seed for 64/128 bit hash value.

>>> import pyhash
>>> hasher = pyhash.metro_64()

>>> hasher('hello world')
>>> 5622782129197849471L

>>> hasher('hello', ' ', 'world')
>>> 16402988188088019159L

>>> hasher('world', seed=hasher(' ', seed=hasher('hello')))
>>> 16402988188088019159L


$ pip install pyhash

Notes pyhash only support pypy v6.0 or newer, please download and install the latest pypy.


pyhash supports the following hash algorithms

  • FNV (Fowler-Noll-Vo) hash
    • fnv1_32
    • fnv1a_32
    • fnv1_64
    • fnv1a_64
  • MurmurHash
    • murmur1_32
    • murmur1_aligned_32
    • murmur2_32
    • murmur2a_32
    • murmur2_aligned_32
    • murmur2_neutral_32
    • murmur2_x64_64a
    • murmur2_x86_64b
    • murmur3_32
    • murmur3_x86_128
    • murmur3_x64_128
  • lookup3
    • lookup3
    • lookup3_little
    • lookup3_big
  • SuperFastHash
    • super_fast_hash
  • City Hash _ city_32
    • city_64
    • city_128
    • city_crc_128
    • city_fingerprint_256
  • Spooky Hash
    • spooky_32
    • spooky_64
    • spooky_128
  • FarmHash
    • farm_32
    • farm_64
    • farm_128
    • farm_fingerprint_32
    • farm_fingerprint_64
    • farm_fingerprint_128
  • MetroHash
    • metro_64
    • metro_128
    • metro_crc_64
    • metro_crc_128
  • MumHash
    • mum_64
  • T1Ha
    • t1ha2 (64-bit little-endian)
    • t1ha2_128 (128-bit little-endian)
    • t1ha1 (64-bit native-endian)
    • t1ha1_le (64-bit little-endian)
    • t1ha1_be (64-bit big-endian)
    • t1ha0 (64-bit, choice fastest function in runtime.)
    • t1_32
    • t1_32_be
    • t1_64
    • t1_64_be
  • XXHash
    • xx_32
    • xx_64

String and Bytes literals

Python has two types can be used to present string literals, the hash values of the two types are definitely different.

  • For Python 2.x String literals, str will be used by default, unicode can be used with the u prefix.
  • For Python 3.x String and Bytes literals, unicode will be used by default, bytes can be used with the b prefix.

For example,

$ python2
Python 2.7.15 (default, Jun 17 2018, 12:46:58)
[GCC 4.2.1 Compatible Apple LLVM 9.1.0 (clang-902.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyhash
>>> hasher = pyhash.murmur3_32()
>>> hasher('foo')
>>> hasher(u'foo')
>>> hasher(b'foo')
$ python3
Python 3.7.0 (default, Jun 29 2018, 20:13:13)
[Clang 9.1.0 (clang-902.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyhash
>>> hasher = pyhash.murmur3_32()
>>> hasher('foo')
>>> hasher(u'foo')
>>> hasher(b'foo')

You can also import unicode_literals to use unicode literals in Python 2.x

from __future__ import unicode_literals

In general, it is more compelling to use unicode_literals when back-porting new or existing Python 3 code to Python 2/3 than when porting existing Python 2 code to 2/3. In the latter case, explicitly marking up all unicode string literals with u'' prefixes would help to avoid unintentionally changing the existing Python 2 API. However, if changing the existing Python 2 API is not a concern, using unicode_literals may speed up the porting process.

Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
pyhash-0.9.1-cp27-cp27m-macosx_10_13_x86_64.whl (433.9 kB) Copy SHA256 hash SHA256 Wheel cp27
pyhash-0.9.1-cp37-cp37m-macosx_10_13_x86_64.whl (236.8 kB) Copy SHA256 hash SHA256 Wheel cp37
pyhash-0.9.1-pp260-pypy_41-macosx_10_13_x86_64.whl (433.9 kB) Copy SHA256 hash SHA256 Wheel pp260
pyhash-0.9.1-pp360-pypy3_60-macosx_10_13_x86_64.whl (206.9 kB) Copy SHA256 hash SHA256 Wheel pp360
pyhash-0.9.1.tar.gz (594.3 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page