spookyhash
A Python wrapper for SpookyHash version 2
Decision gist · record as of 2026-08-14
Yes, if you need a fast non-cryptographic hash function for performance-critical applications like deduplication, caching, or hash tables. The MIT license is permissive, install friction is manageable with pre-built wheels, no vulnerabilities are known, and the API is straightforward. No if you require cryptographic security or active maintenance—the project is aging and has not been updated in 278 days.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Medium install friction due to compiled wheels; pre-built binaries available for Python 3.7–3.14 across macOS, Linux, Windows, and ARM platforms.
- Last release 278 days ago; repository active but aging.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
last release 2025-11-09 (278 days) · last repo commit 2025-11-09 · 6 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 102,745 downloads/mo, #12,852 on PyPI
Alternatives
Verify before relying
pip install spookyhash
import spookyhash
# One-shot hash
result = spookyhash.hash64(b'hello world')
print(result) # 14865987102431973981
# Incremental hash
sh = spookyhash.Hash64()
sh.update(b'hello')
sh.update(b' world')
print(sh.hexdigest()) # 5d12ff9b81984ece- Whether SpookyHash collisions are acceptable for your use case compared to cryptographic hashes
- Performance benchmarks against Python's built-in hashlib for your typical data sizes
What it is and what it does
spookyhash is a Python wrapper around Bob Jenkins' SpookyHash algorithm, a non-cryptographic hash function optimized for speed. It exposes three hash output sizes (32, 64, and 128 bits) and supports both one-shot hashing and incremental updates via stateful Hash objects. The library also handles memoryview-compatible types, making it convenient for NumPy arrays and other buffer-protocol objects.
The package targets use cases where you need fast, non-cryptographic hashing—such as hash tables, checksums, or data deduplication—rather than security-sensitive applications. It has no runtime dependencies and provides pre-built wheels for modern Python versions (3.7–3.14) across major platforms, though the project is aging with its last release 278 days ago.
Use it for
- Hash table or dictionary implementation where speed matters more than cryptographic security
- Deduplication of large datasets by computing fast checksums on data chunks or NumPy arrays
- Incremental hashing of streaming data or file chunks without loading entire content into memory
- Fast content-based addressing in caching systems or distributed storage
- Bloom filters or probabilistic data structures that require non-cryptographic hashing
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a fast non-cryptographic hash function for performance-critical applications like deduplication, caching, or hash tables.
The MIT license is permissive, install friction is manageable with pre-built wheels, no vulnerabilities are known, and the API is straightforward. No if you require cryptographic security or active maintenance—the project is aging and has not been updated in 278 days.
Install
spookyhash on PyPI
Before you install
Medium install friction due to compiled wheels; pre-built binaries available for Python 3.7–3.14 across macOS, Linux, Windows, and ARM platforms. Last release 278 days ago; repository active but aging.
License in practice
MIT license is permissive; you may use, modify, and distribute this package freely with minimal restrictions.
Quickstart
pip install spookyhash
import spookyhash
# One-shot hash
result = spookyhash.hash64(b'hello world')
print(result) # 14865987102431973981
# Incremental hash
sh = spookyhash.Hash64()
sh.update(b'hello')
sh.update(b' world')
print(sh.hexdigest()) # 5d12ff9b81984eceVerify before relying
- Whether SpookyHash collisions are acceptable for your use case compared to cryptographic hashes
- Performance benchmarks against Python's built-in hashlib for your typical data sizes
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Aging 278 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 102,745 / month, #12,852 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: LibrariesTyping :: Typed |
Evidence: spookyhash-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl; spookyhash-2.1.1-cp310-cp310-macosx_11_0_arm64.whl; spookyhash-2.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; spookyhash-2.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; spookyhash-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl; spookyhash-2.1.1-cp310-cp310-musllinux_1_2_x86_64.whl; spookyhash-2.1.1-cp310-cp310-win32.whl; spookyhash-2.1.1-cp310-cp310-win_amd64.whl; spookyhash-2.1.1-cp310-cp310-win_arm64.whl; spookyhash-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl; spookyhash-2.1.1-cp311-cp311-macosx_11_0_arm64.whl; spookyhash-2.1.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; spookyhash-2.1.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; spookyhash-2.1.1-cp311-cp311-musllinux_1_2_aarch64.whl; spookyhash-2.1.1-cp311-cp311-musllinux_1_2_x86_64.whl; spookyhash-2.1.1-cp311-cp311-win32.whl; spookyhash-2.1.1-cp311-cp311-win_amd64.whl; spookyhash-2.1.1-cp311-cp311-win_arm64.whl; spookyhash-2.1.1-cp312-cp312-macosx_10_13_x86_64.whl; spookyhash-2.1.1-cp312-cp312-macosx_11_0_arm64.whl
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See also xxhash · cityhash · siphash · mmhash3 · murmurhash2 · murmurhash · py-multihash · clickhouse-cityhash · pyfarmhash · bbhash