hashcodecs

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Fast, reference-compatible Base64, MurmurHash3, and XXH3 for Python and Rust. hashcodecs uses runtime CPU dispatch, portable scalar fallbacks, native batch operations, and reusable output buffers.

Features

  • Base64 encode and decode with standard, URL-safe, padded, unpadded, wrapped, and canonical modes.
  • MurmurHash3 x86-32, x86-128, and x64-128 with one-shot and incremental APIs.
  • Bit-for-bit compatible XXH3-64 and XXH3-128 with one-shot and native batch APIs.
  • Caller-managed *_into outputs for allocation-sensitive workloads.
  • Runtime dispatch across AVX-512, AVX2, SSE4.1, SSSE3, NEON, and scalar implementations where applicable.
  • Direct CPython buffer handling for bytes, bytearray, and memoryview inputs.
  • Python 3.10 through 3.15 support on Linux, macOS, and Windows.

Installation

python -m pip install hashcodecs

Python

The Base64 module follows familiar Python conventions while adding explicit padding, canonical validation, batch, and reusable-buffer operations.

import hashcodecs.base64 as base64
from hashcodecs import murmur3_32, xxh3_64, xxh3_128_batch

assert base64.b64encode(b'hello') == b'aGVsbG8='
assert base64.b64decode(b'aGVsbG8=') == b'hello'
assert base64.urlsafe_b64encode(b'hello', padded=False) == b'aGVsbG8'

assert murmur3_32(b'hello') == 0x248BFA47
assert xxh3_64(b'') == 0x2D06800538D394C2
assert xxh3_128_batch([b'hello', b'world']) == [
    0xB5E9C1AD071B3E7FC779CFAA5E523818,
    0xFA0D38A9B38280D0891E4985BDB2583E,
]

Reusable outputs

*_into functions write into caller-managed bytearray storage and return the number of bytes written. XXH3 batch outputs are packed little-endian digests.

import hashcodecs.base64 as base64
from hashcodecs import xxh3_64_batch_into

payload = b'hello'
encoded = bytearray(4 * ((len(payload) + 2) // 3))
encoded_len = base64.b64encode_into(payload, encoded)
assert encoded[:encoded_len] == b'aGVsbG8='

hashes = bytearray(2 * 8)
written = xxh3_64_batch_into([b'hello', b'world'], hashes, seed=42)
assert written == 16

Incremental hashing

from hashcodecs import murmur3_x64_128

hasher = murmur3_x64_128(seed=42)
hasher.update(b'hello')
snapshot = hasher.copy()
hasher.update(b' world')

assert snapshot.hexdigest() == snapshot.digest().hex()
assert hasher.digest() != snapshot.digest()

Rust

The Rust API exposes the same core algorithms without the Python binding layer.

let encoded = hashcodecs::b64encode(b"hello");
assert_eq!(encoded, "aGVsbG8=");

let mut output = [0_u8; 8];
let written = hashcodecs::b64encode_into(b"hello", &mut output).unwrap();
assert_eq!(&output[..written], b"aGVsbG8=");

assert_eq!(hashcodecs::murmur3_x86_32(b"hello", 0), 0x248b_fa47);
assert_eq!(hashcodecs::xxh3_64(b"", 0), 0x2d06_8005_38d3_94c2);

Architecture

The Rust core owns algorithm behavior and SIMD dispatch. A thin CPython layer handles argument parsing, buffer ownership, reusable outputs, and GIL decisions; root-level Python modules provide typed public exports without adding per-call wrappers.

See docs/ARCHITECTURE.md for the module layout, dispatch model, algorithm data flows, CPython boundary, and safety invariants.

Benchmarks

Environment: Windows 10 x64 and Intel Core Ultra 7 265K.

Conditions: clean builds, one pinned logical CPU, single-threaded execution, 50 Rust samples, and 15 Python samples. Returned-output allocation is included except in the reusable-buffer table. Higher is better.

Base64: Rust

Rust Base64 throughput

MurmurHash3: Rust

Rust MurmurHash3 throughput

XXH3: Rust

upstream C is xxHash 0.8.3 built through xxhash-c-sys with AVX2 enabled, matching the backend selected by hashcodecs on the benchmark host. Batch results hash 32 equal-size inputs and include result-vector allocation.

Rust XXH3 throughput

Base64: Python

Python decoding uses validate=True, and hashcodecs passes bytes directly into Rust without an input copy.

Python Base64 throughput

MurmurHash3: Python

Python MurmurHash3 throughput

XXH3: Python

The batch comparison uses one native hashcodecs call versus a loop over the upstream xxhash extension.

Python XXH3 throughput

Reusable-buffer and mutable-input charts, exact conditions, and interpretation notes are available in BENCHMARK.md. Raw chart values are available as CSV.

Reproduce

Comparison crates and Python packages are development-only dependencies and are not included in consumer builds.

cargo bench --bench base64
cargo bench --bench murmur3
cargo bench --bench xxhash

uv sync --group benchmark --no-install-project
uv run --no-project --with . python benchmarks/python_base64.py
uv run --no-project --with . python benchmarks/python_base64_batch.py
uv run --no-project --with . python benchmarks/python_murmur3.py
uv run --no-project --with . python benchmarks/python_xxhash.py

The Python benchmarks expose focused modes such as --into, --bytearray-input, --memoryview-input, --incremental, --large, and --hashcodecs-only. Use --help on a benchmark script for its supported modes.

For the same-ISA Windows XXH3 comparison shown above, rebuild the C baseline with:

$env:CFLAGS='/O2 /arch:AVX2'
cargo clean -p xxhash-c-sys
cargo bench --bench xxhash

Development

Build the Python wheel and source distribution:

uv build

Run the primary local checks:

cargo fmt --check
cargo clippy --all-targets --features python -- -D warnings
cargo test --features python
uv run --frozen --no-sync ruff check . --no-cache
uv run --frozen --no-sync ruff format --check .
uv run --frozen --no-sync pytest tests --cov=hashcodecs --cov-branch --cov-fail-under=100

Optimized paths are also checked with differential fuzzing, Kani, strict-provenance Miri, AddressSanitizer, and MemorySanitizer in CI.

References

The Base64 SIMD implementation follows the approach described in Faster Base64 Encoding and Decoding using AVX2 Instructions, extended with runtime-selected AVX-512 VBMI and AArch64 NEON backends.

License

Licensed under either of the following, at your option:

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.4.1)

1 maintainer

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

License expression

MIT OR Apache-2.0
View SPDX License List

Requires

Python >=3.10

Classifiers

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1.4.1

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1.4.0

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1.3.0

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1.2.1

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1.2.0

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1.1.0

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1.0.0

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This release

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0.2.0

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0.1.0

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