fastcrc

A hyper-fast Python module for computing CRC(8, 16, 32, 64) checksum.

Installation

fastcrc needs Python 3.8 or newer. Prebuilt wheels are available for recent CPython versions on Linux, macOS and Windows, so on most machines this is all it takes:

pip install fastcrc

If pip can’t find a wheel for your interpreter it falls back to building from source, which needs a Rust toolchain (1.89 or newer).

Usage

from fastcrc import crc8, crc16, crc32, crc64

data = b"123456789"
print(f"crc8 checksum with cdma2000 algorithm: {crc8.cdma2000(data)}")
print(f"crc16 checksum with xmodem algorithm: {crc16.xmodem(data)}")
print(f"crc32 checksum with aixm algorithm: {crc32.aixm(data)}")
print(f"crc64 checksum with ecma_182 algorithm: {crc64.ecma_182(data)}")
print(f"crc16 checksum with xmodem algorithm (with initial data): {crc16.xmodem(b'56789', crc16.xmodem(b'1234'))}")

# Any bytes-like object works without copying, e.g. a slice of a larger buffer.
buffer = bytearray(b"header:123456789")
print(f"crc32 checksum of a memoryview slice: {crc32.iscsi(memoryview(buffer)[7:])}")

Notes

data may be any object that supports the buffer protocol (bytes, bytearray, memoryview, array, mmap, NumPy arrays, …). It is read in place without copying, so do not modify it from another thread while its checksum is being computed.
Inputs of 16 KiB and more are processed with the GIL released, so threads can compute checksums in parallel. The free-threaded build of CPython is supported.

Performance

CRC-16, CRC-32 and CRC-64 use SIMD carry-less multiplication (PCLMULQDQ/VPCLMULQDQ on x86, PMULL on aarch64) with a table-based fallback elsewhere; CRC-8 uses slice-by-16 tables. The best method for the CPU is picked at run time, so the wheels run everywhere.

Single-threaded throughput on an AMD Ryzen 7 9700X (Zen 5) with CPython 3.14, in GB/s:

Input	crc32.iscsi	crc32.iso_hdlc	crc16.xmodem	crc64.xz	crc8.smbus
64 B	2.4	1.6	1.8	1.3	2.6
1 KiB	23.6	24.2	23.6	21.6	8.3
1 MiB	87.2	86.6	86.1	86.8	9.3

Full tables for every algorithm, per-call latencies, multi-threaded scaling and the harness to reproduce them are in benchmarks/README.md.

Documentation

fastcrc’s documentation can be found at https://fastcrc.readthedocs.io

License

fastcrc is licensed under MIT License.

Thanks

fastcrc is made possible by crc-fast.

Download files

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Source Distribution

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fastcrc 0.5.0

fastcrc

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Algorithm	Hash digest
SHA256	`c8a45932206c36f106ac146ca0635e1e22535c75e2961174ad95cb592c5667fc`
MD5	`768179aeefbda726da7b1009ac424085`
BLAKE2b-256	`24d05ce4c13c8f5ee60993c3259cca1b51333af65f46e740e46b779b681a52ea`

Algorithm	Hash digest
SHA256	`303220c63518369cb5d3a24be06fce962175ea0b4bda6864c68f4525147ad7b8`
MD5	`bdbf94b377302208560a315224429feb`
BLAKE2b-256	`4e8becd7a61fad7b89fadfed3881951bf2582ac6a39fc8bfd428fe12dc63547e`

Algorithm	Hash digest
SHA256	`b7753e69d464d38f091cdce1b274f264f2ab0709fae2cdf9a4ae9bfdd29e3948`
MD5	`fd50d4bf5e640a5172cbb30c54be98d6`
BLAKE2b-256	`d54c661240d8da1f64f911fb24b765f9091ef14dea60240f7d84d1c766b3bc45`

Algorithm	Hash digest
SHA256	`d0df29d09326311d91fe783722313131a3fc695c5c2b64b7eccb4d80c6c9792c`
MD5	`a6a4794a7c06b97ed0bdafe7ff6000a5`
BLAKE2b-256	`fe9045313eb18dded1d81f3e64cd1d7465beeaebe7e370f44719ea36eff4eae5`

Algorithm	Hash digest
SHA256	`b0df8dab6ec3d950f9da7424c5015b3130a880fbf99a13856df8895b969b5d57`
MD5	`9d41f766a71866a541390402f0d24cf3`
BLAKE2b-256	`e9671b55e5fb7a3d9fc3a46bcc52433acb60cc639bb204d802bd547bed78e08f`

Algorithm	Hash digest
SHA256	`9626576fc80f2ada6fcfcdae8c039ac8e4d5124f7278f0ae68573dcedbe94591`
MD5	`c1906813eeb565798b3eb0f06cc9f658`
BLAKE2b-256	`338230b617bc35bec6bb3d6cb0a074d44446a525f8921dabb643e1c3dd300be0`

Algorithm	Hash digest
SHA256	`e6ec954e6c71ac592c7ead60986c175fb75719d99152459b5111a4c177005723`
MD5	`5918f5fc5c092b647aabf9a5247a2745`
BLAKE2b-256	`7892df0db0f7eacbc9e60800d537c6376c9f6fa45b3e89e0c55ded8237bdd5cf`

Algorithm	Hash digest
SHA256	`13d09d1cb2cfb8a58352cb2234dec589bf21a313538f6de4bbef3fd297cc7b39`
MD5	`ef8f77d9e8b1708ad4ca9561ee0f2092`
BLAKE2b-256	`9b36bdf1ef1046d020910ebba05912c3dac8b2aba0a4703c236ecd4011730cf3`

Algorithm	Hash digest
SHA256	`f37ccbf322ae16334f1e8f8d0135f31d57b1f6d900659eec87b6fd83ba6b5756`
MD5	`651dc23178e0e3da6f949b8f5ad06372`
BLAKE2b-256	`cd4f0a3158255e1d00f87dbde9c9aed6202b0c18669420d1cf4ab4683e37303e`

Algorithm	Hash digest
SHA256	`666c2158208d184e66665786f4ac43f45bc9a8120bb0b977ddd475b3b0bf95db`
MD5	`e698252704bdaf5656f7ea0b23952b80`
BLAKE2b-256	`27a4ef53dbc17467028fda43c01f2947a4fba3cd9850242c89c6efe134f90543`