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mmhash3

Python wrapper for MurmurHash (MurmurHash3), a set of fast and robust hash functions.

With conditionsPyPI LibrariesReleased Oct 2022357.4K downloads / mopermissive licensePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — mmhash3-3.0.1-cp310-cp310-macosx_10_9_x86_64.whl · mmhash3-3.0.1-cp310-cp310-macosx_11_0_arm64.whl · mmhash3-3.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
v3.0.1 · released 2022-10-29

Yes, if you need a fast, dependency-free non-cryptographic hash function for data structures or machine learning. The public domain license and pre-built wheels make it easy to adopt. However, the package is abandoned—no updates since 3.0.1—so consider it stable and feature-complete rather than actively maintained. Use it for established use cases like Bloom filters or MinHash, not as a foundation for new cryptographic or security-critical work.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a C compiler to build from source on platforms without pre-built wheels; wheels are provided for Python 3.6–3.11 on common platforms.
  • Medium install friction due to compiled C extensions; pre-built wheels are available for Python 3.6–3.11 on macOS (x86_64 and ARM64), Windows (32/64-bit), and Linux (x86_64 and aarch64).
  • Package is marked abandoned with no updates since 3.0.1 release.

License · maintenance · safety

permissive license (permissive) — Licensed under CC0-1.0 (public domain dedication), placing the package in the public domain with no restrictions on use, modification, or distribution.

last release 2022-10-29 (1385 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 357,424 downloads/mo, #7,268 on PyPI

Verify before relying

pip install mmhash3

import mmhash3

# 32-bit hash
result = mmhash3.hash("foo")
print(result)  # -156908512

# 32-bit unsigned
result_unsigned = mmhash3.hash("foo", signed=False)
print(result_unsigned)  # 4138058784

# 64-bit hash (returns two values)
result64 = mmhash3.hash64("foo")
print(result64)  # (-2129773440516405919, 9128664383759220103)

# 128-bit hash
result128 = mmhash3.hash128("foo", 42)
print(result128)  # 215966891540331383248189432718888555506
  • Whether the package receives security updates or bug fixes despite being marked abandoned.
  • Performance characteristics compared to pure-Python or alternative hash implementations in real-world scenarios.
Same gist for agents: .md · .json

What it is and what it does

mmhash3 wraps the MurmurHash3 algorithm, a family of fast, non-cryptographic hash functions designed for distributed systems and probabilistic data structures. It exposes multiple hash variants: 32-bit and 64-bit signed or unsigned integers, 128-bit integers, and raw byte output. The package supports seeding, architecture-specific optimizations, and direct hashing from memory buffers without copying.

The library is commonly used in data mining, machine learning, and natural language processing to build high-performance systems with Bloom filters, MinHash sketches, and feature hashing. It has no runtime dependencies and is available as pre-compiled wheels for modern Python versions on Linux, macOS, and Windows, making installation straightforward on supported platforms.

Use it for

  • Building Bloom filters for membership testing in memory-constrained environments.
  • Implementing MinHash for approximate set similarity and deduplication in large datasets.
  • Feature hashing in machine learning pipelines to reduce dimensionality of categorical data.
  • Distributing data across hash buckets in partitioned systems or load balancers.
  • Generating consistent hash values for caching and distributed storage systems.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need a fast, dependency-free non-cryptographic hash function for data structures or machine learning.

The public domain license and pre-built wheels make it easy to adopt. However, the package is abandoned—no updates since 3.0.1—so consider it stable and feature-complete rather than actively maintained. Use it for established use cases like Bloom filters or MinHash, not as a foundation for new cryptographic or security-critical work.

Install

mmhash3 on PyPI

Before you install

Medium install friction due to compiled C extensions; pre-built wheels are available for Python 3.6–3.11 on macOS (x86_64 and ARM64), Windows (32/64-bit), and Linux (x86_64 and aarch64). Package is marked abandoned with no updates since 3.0.1 release.

Requires a C compiler to build from source on platforms without pre-built wheels; wheels are provided for Python 3.6–3.11 on common platforms.

License in practice

Licensed under CC0-1.0 (public domain dedication), placing the package in the public domain with no restrictions on use, modification, or distribution.

Quickstart

pip install mmhash3

import mmhash3

# 32-bit hash
result = mmhash3.hash("foo")
print(result)  # -156908512

# 32-bit unsigned
result_unsigned = mmhash3.hash("foo", signed=False)
print(result_unsigned)  # 4138058784

# 64-bit hash (returns two values)
result64 = mmhash3.hash64("foo")
print(result64)  # (-2129773440516405919, 9128664383759220103)

# 128-bit hash
result128 = mmhash3.hash128("foo", 42)
print(result128)  # 215966891540331383248189432718888555506

Verify before relying

  • Whether the package receives security updates or bug fixes despite being marked abandoned.
  • Performance characteristics compared to pure-Python or alternative hash implementations in real-world scenarios.

Package facts

Licensepermissive license permissive
Python supportNot specified
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAbandoned 1,385 days since the last release
First released
Downloads357,424 / month, #7,268 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: CC0 1.0 Universal (CC0 1.0) Public Domain DedicationProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: LibrariesTopic :: Utilities

Evidence: mmhash3-3.0.1-cp310-cp310-macosx_10_9_x86_64.whl; mmhash3-3.0.1-cp310-cp310-macosx_11_0_arm64.whl; mmhash3-3.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; mmhash3-3.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; mmhash3-3.0.1-cp310-cp310-win32.whl; mmhash3-3.0.1-cp310-cp310-win_amd64.whl; mmhash3-3.0.1-cp311-cp311-macosx_10_9_x86_64.whl; mmhash3-3.0.1-cp311-cp311-macosx_11_0_arm64.whl; mmhash3-3.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; mmhash3-3.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; mmhash3-3.0.1-cp311-cp311-win32.whl; mmhash3-3.0.1-cp311-cp311-win_amd64.whl; mmhash3-3.0.1-cp36-cp36m-macosx_10_9_x86_64.whl; mmhash3-3.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; mmhash3-3.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; mmhash3-3.0.1-cp36-cp36m-win32.whl; mmhash3-3.0.1-cp36-cp36m-win_amd64.whl; mmhash3-3.0.1-cp37-cp37m-macosx_10_9_x86_64.whl; mmhash3-3.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; mmhash3-3.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Tags

Capabilities
murmur hash pythonfast non-cryptographic hashingbloom filter hash functionfeature hashing libraryminhash implementationhash function for data mining32-bit 64-bit 128-bit hash
Topics
hashingdata-structuresperformance
PyPI keywords
utilityhashMurmurHash

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See also bbhash · mmh3 · murmurhash2 · py-multihash · xxhash · murmurhash · cityhash · clickhouse-cityhash · pyfarmhash · spookyhash