mmh3

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mmh3 is a Python extension for MurmurHash (MurmurHash3), a set of fast and robust non-cryptographic hash functions invented by Austin Appleby.

By combining mmh3 with probabilistic techniques like Bloom filter, MinHash, and feature hashing, you can develop high-performance systems in fields such as data mining, machine learning, and natural language processing.

Another popular use of mmh3 is to calculate favicon hashes, which are utilized by Shodan, the world's first IoT search engine.

This page provides a quick start guide. For more comprehensive information, please refer to the documentation.

Installation

pip install mmh3

Usage

Basic usage

>>> import mmh3
>>> mmh3.hash(b"foo") # returns a 32-bit signed int
-156908512
>>> mmh3.hash("foo") # accepts str (UTF-8 encoded)
-156908512
>>> mmh3.hash(b"foo", 42) # uses 42 as the seed
-1322301282
>>> mmh3.hash(b"foo", 0, False) # returns a 32-bit unsigned int
4138058784

mmh3.mmh3_x64_128_digest(), introduced in version 5.0.0, efficienlty hashes buffer objects that implement the buffer protocol (PEP 688) without internal memory copying. The function returns a bytes object of 16 bytes (128 bits). It is particularly suited for hashing large memory views, such as bytearray, memoryview, and numpy.ndarray, and performs faster than the 32-bit variants like hash() on 64-bit machines.

>>> mmh3.mmh3_x64_128_digest(numpy.random.rand(100))
b'\x8c\xee\xc6z\xa9\xfeR\xe8o\x9a\x9b\x17u\xbe\xdc\xee'

Various alternatives are available, offering different return types (e.g., signed integers, tuples of unsigned integers) and optimized for different architectures. For a comprehensive list of functions, refer to the API Reference.

hashlib-style hashers

mmh3 implements hasher objects with interfaces similar to those in hashlib from the standard library, although they are still experimental. See Hasher Classes in the API Reference for more information.

Changelog

See Changelog for the complete changelog.

5.0.0 - 2024-09-18

Added

  • Add support for Python 3.13.
  • Improve the performance of the hash() function with METH_FASTCALL, reducing the overhead of function calls. For data sizes between 1–2 KB (e.g., 48x48 favicons), performance is 10%–20% faster. For smaller data (~500 bytes, like 16x16 favicons), performance increases by approximately 30% (#87).
  • Add digest functions that support the new buffer protocol (PEP 688) as input (#75). These functions are implemented with METH_FASTCALL too, offering improved performance (#84).
  • Slightly improve the performance of the hash_bytes() function (#88)
  • Add Read the Docs documentation (#54).
  • Document benchmark results (#53).

Changed

  • Backward-incompatible: The seed argument is now strictly validated to ensure it falls within the range [0, 0xFFFFFFFF]. A ValueError is raised if the seed is out of range (#84).
  • Backward-incompatible: Change the constructors of hasher classes to accept a buffer as the first argument (#83).
  • The type of flag argumens has been changed from bool to Any (#84).
  • Change the format of CHANGELOG.md to conform to the Keep a Changelog standard (#63).

Deprecated

  • Deprecate the hash_from_buffer() function. Use mmh3_32_sintdigest() or mmh3_32_uintdigest() as alternatives (#84).

Fixed

  • Fix a reference leak in the hash_from_buffer() function (#75).
  • Fix type hints (#76, #77, #84).

4.1.0 - 2024-01-09

Added

  • Add support for Python 3.12.

Fixed

  • Fix issues with Bazel by changing the directory structure of the project (#50).
  • Fix incorrect type hints (#51).
  • Fix invalid results on s390x when the arg x64arch of hash64 or hash_bytes() is set to False (#52).

License

MIT, unless otherwise noted within a file.

Known Issues

Different results from other MurmurHash3-based libraries

By default, mmh3 returns signed values for the 32-bit and 64-bit versions and unsigned values for hash128 due to historical reasons. To get the desired result, use the signed keyword argument.

Starting from version 4.0.0, mmh3 returns the same values on big-endian platforms as it does on little-endian ones, whereas the original C++ library is endian-sensitive. If you need results that comply with the original library on big-endian systems, please use version 3.*.

For compatibility with Google Guava (Java), see https://stackoverflow.com/questions/29932956/murmur3-hash-different-result-between-python-and-java-implementation.

For compatibility with murmur3 (Go), see https://github.com/hajimes/mmh3/issues/46.

Contributing Guidelines

See Contributing.

Authors

MurmurHash3 was originally developed by Austin Appleby and distributed under public domain https://github.com/aappleby/smhasher.

Ported and modified for Python by Hajime Senuma.

External Tutorials

High-performance computing

The following textbooks and tutorials are great resources for learning how to use mmh3 (and other hash algorithms in general) for high-performance computing.

Internet of things

Shodan, the world's first IoT search engine, uses MurmurHash3 hash values for favicons (icons associated with web pages). ZoomEye follows Shodan's convention. Calculating these values with mmh3 is useful for OSINT and cybersecurity activities.

Related Libraries

Project links

Data verified by PyPI on Sep 18, 2024
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (5.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Hajime.Senuma from gravatar.com Hajime.Senuma

Credits

Author: Hajime Senuma

License

MIT License (MIT License Copyright (c) 2011-2024 Hajime Senuma Permission is hereby granted, free of charge, to...)

Requires

Python >=3.8

Provides Extra

benchmark docs lint plot test type

Tags

utility hash MurmurHash

Classifiers

Report project as malware

Release files for mmh3 5.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mmh3 5.0.0
File Size Uploaded
mmh3-5.0.0.tar.gz 28.7 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for mmh3 5.0.0
File
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mmh3-5.0.0-cp313-cp313-win_amd64.whl 35.5 kB CPython 3.13 CPython 3.13 Windows x86-64 Details
mmh3-5.0.0-cp313-cp313-win32.whl 34.9 kB CPython 3.13 CPython 3.13 Windows x86-32 Details
mmh3-5.0.0-cp313-cp313-musllinux_1_2_x86_64.whl 85.5 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
mmh3-5.0.0-cp313-cp313-musllinux_1_2_s390x.whl 87.0 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ IBM System/390x Details
mmh3-5.0.0-cp313-cp313-musllinux_1_2_ppc64le.whl 90.6 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp313-cp313-musllinux_1_2_i686.whl 85.3 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-32 Details
mmh3-5.0.0-cp313-cp313-musllinux_1_2_aarch64.whl 86.2 kB CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details
mmh3-5.0.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl 95.4 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ IBM System/390x Details
mmh3-5.0.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 95.7 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ PowerPC 64-le Details
mmh3-5.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 90.7 kB CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64 Details
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mmh3-5.0.0-cp312-cp312-win_arm64.whl 32.2 kB CPython 3.12 CPython 3.12 Windows ARM64 Details
mmh3-5.0.0-cp312-cp312-win_amd64.whl 35.5 kB CPython 3.12 CPython 3.12 Windows x86-64 Details
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mmh3-5.0.0-cp312-cp312-musllinux_1_2_x86_64.whl 85.5 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
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mmh3-5.0.0-cp312-cp312-musllinux_1_2_ppc64le.whl 90.6 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp312-cp312-musllinux_1_2_i686.whl 85.2 kB CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-32 Details
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mmh3-5.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 90.8 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
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mmh3-5.0.0-cp312-cp312-macosx_11_0_arm64.whl 33.9 kB CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
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mmh3-5.0.0-cp312-cp312-macosx_10_13_universal2.whl 48.6 kB CPython 3.12 CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64) Details
mmh3-5.0.0-cp311-cp311-win_arm64.whl 32.2 kB CPython 3.11 CPython 3.11 Windows ARM64 Details
mmh3-5.0.0-cp311-cp311-win_amd64.whl 35.4 kB CPython 3.11 CPython 3.11 Windows x86-64 Details
mmh3-5.0.0-cp311-cp311-win32.whl 34.8 kB CPython 3.11 CPython 3.11 Windows x86-32 Details
mmh3-5.0.0-cp311-cp311-musllinux_1_2_x86_64.whl 85.3 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
mmh3-5.0.0-cp311-cp311-musllinux_1_2_s390x.whl 86.7 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ IBM System/390x Details
mmh3-5.0.0-cp311-cp311-musllinux_1_2_ppc64le.whl 90.4 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp311-cp311-musllinux_1_2_i686.whl 85.1 kB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-32 Details
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mmh3-5.0.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 95.7 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ PowerPC 64-le Details
mmh3-5.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 90.8 kB CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
mmh3-5.0.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 90.5 kB CPython 3.11 CPython 3.11 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
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mmh3-5.0.0-cp310-cp310-win_amd64.whl 35.4 kB CPython 3.10 CPython 3.10 Windows x86-64 Details
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mmh3-5.0.0-cp310-cp310-musllinux_1_2_x86_64.whl 88.5 kB CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
mmh3-5.0.0-cp310-cp310-musllinux_1_2_s390x.whl 89.6 kB CPython 3.10 CPython 3.10 Linux musl 1.2+ IBM System/390x Details
mmh3-5.0.0-cp310-cp310-musllinux_1_2_ppc64le.whl 95.0 kB CPython 3.10 CPython 3.10 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp310-cp310-musllinux_1_2_i686.whl 84.1 kB CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-32 Details
mmh3-5.0.0-cp310-cp310-musllinux_1_2_aarch64.whl 89.3 kB CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details
mmh3-5.0.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl 93.7 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ IBM System/390x Details
mmh3-5.0.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 94.1 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ PowerPC 64-le Details
mmh3-5.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 89.2 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
mmh3-5.0.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 88.9 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64, Linux glibc 2.5+ x86-64 Details
mmh3-5.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 82.0 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-32, Linux glibc 2.5+ x86-32 Details
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mmh3-5.0.0-cp39-cp39-win_arm64.whl 32.2 kB CPython 3.9 CPython 3.9 Windows ARM64 Details
mmh3-5.0.0-cp39-cp39-win_amd64.whl 35.4 kB CPython 3.9 CPython 3.9 Windows x86-64 Details
mmh3-5.0.0-cp39-cp39-win32.whl 34.8 kB CPython 3.9 CPython 3.9 Windows x86-32 Details
mmh3-5.0.0-cp39-cp39-musllinux_1_2_x86_64.whl 88.3 kB CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-64 Details
mmh3-5.0.0-cp39-cp39-musllinux_1_2_s390x.whl 89.4 kB CPython 3.9 CPython 3.9 Linux musl 1.2+ IBM System/390x Details
mmh3-5.0.0-cp39-cp39-musllinux_1_2_ppc64le.whl 94.8 kB CPython 3.9 CPython 3.9 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp39-cp39-musllinux_1_2_i686.whl 83.9 kB CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-32 Details
mmh3-5.0.0-cp39-cp39-musllinux_1_2_aarch64.whl 89.1 kB CPython 3.9 CPython 3.9 Linux musl 1.2+ ARM64 Details
mmh3-5.0.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl 93.5 kB CPython 3.9 CPython 3.9 Linux glibc 2.17+ IBM System/390x Details
mmh3-5.0.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 93.8 kB CPython 3.9 CPython 3.9 Linux glibc 2.17+ PowerPC 64-le Details
mmh3-5.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 89.0 kB CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
mmh3-5.0.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 88.7 kB CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
mmh3-5.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 81.8 kB CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-32, Linux glibc 2.17+ x86-32 Details
mmh3-5.0.0-cp39-cp39-macosx_11_0_arm64.whl 33.9 kB CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
mmh3-5.0.0-cp39-cp39-macosx_10_9_x86_64.whl 34.0 kB CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
mmh3-5.0.0-cp39-cp39-macosx_10_9_universal2.whl 48.6 kB CPython 3.9 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) Details
mmh3-5.0.0-cp38-cp38-win_amd64.whl 35.5 kB CPython 3.8 CPython 3.8 Windows x86-64 Details
mmh3-5.0.0-cp38-cp38-win32.whl 34.9 kB CPython 3.8 CPython 3.8 Windows x86-32 Details
mmh3-5.0.0-cp38-cp38-musllinux_1_2_x86_64.whl 86.1 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ x86-64 Details
mmh3-5.0.0-cp38-cp38-musllinux_1_2_s390x.whl 86.9 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ IBM System/390x Details
mmh3-5.0.0-cp38-cp38-musllinux_1_2_ppc64le.whl 91.3 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ PowerPC 64-le Details
mmh3-5.0.0-cp38-cp38-musllinux_1_2_i686.whl 82.2 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ x86-32 Details
mmh3-5.0.0-cp38-cp38-musllinux_1_2_aarch64.whl 86.5 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ ARM64 Details
mmh3-5.0.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl 90.6 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ IBM System/390x Details
mmh3-5.0.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 91.2 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ PowerPC 64-le Details
mmh3-5.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 86.2 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
mmh3-5.0.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 85.8 kB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64, Linux glibc 2.5+ x86-64 Details
mmh3-5.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 80.5 kB CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32, Linux glibc 2.17+ x86-32 Details
mmh3-5.0.0-cp38-cp38-macosx_11_0_arm64.whl 33.8 kB CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
mmh3-5.0.0-cp38-cp38-macosx_10_9_x86_64.whl 34.0 kB CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
mmh3-5.0.0-cp38-cp38-macosx_10_9_universal2.whl 48.4 kB CPython 3.8 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) Details

Total release size: 6.6 MB

Release files / mmh3-5.0.0.tar.gz

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Size 90.7 kB
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Release files / mmh3-5.0.0-cp38-cp38-macosx_11_0_arm64.whl

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Release history Release notifications | RSS feed

5.3.0

144 release files

5.2.1

107 release files

5.2.0

121 release files

5.1.0

81 release files

5.0.1

96 release files

This release

5.0.0 This release

96 release files

4.1.0

80 release files

4.0.1

64 release files

4.0.0

64 release files

3.1.0

35 release files

3.0.0

26 release files

2.5.1

1 release file

2.5

1 release file

2.4

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2.3.1

1 release file

2.3

1 release file

2.2

1 release file

2.0

1 release file

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