cChardet

cChardet is high speed universal character encoding detector. - binding to uchardet.

This fork (`faust-cchardet`) vs `PyYoshi/cChardet`

This is the faust-streaming maintained fork of upstream PyYoshi/cChardet. It exists mainly to keep the project building on current Python and Windows toolchains and to publish up-to-date prebuilt wheels across platforms. The public Python API is unchanged from upstream.

The distribution is renamed on PyPI; the import name is not:

pip install faust-cchardet

import cchardet   # same import name as upstream

Key differences

Prebuilt wheels built with cibuildwheel, so most users install without a C++ compiler:
- Linux: x86_64, i686, aarch64 (CPython and PyPy)
- macOS: x86_64, arm64
- Windows: x86_64 / AMD64
Windows / MSVC support — pinned to an MSVC-compatible uchardet (bdb8a0…) so the C++ extension compiles under Microsoft Visual C++. Upstream's newer uchardet header does not build under MSVC.
Modern build — uses the meson-python build backend (distutils is removed in Python 3.12+); Meson builds the Cython output as C++ and links the matching C++ runtime automatically.
Versioning — the version lives in src/cchardet/version.py and is exposed as cchardet.__version__ (upstream uses setuptools_scm).
Python support — requires Python >= 3.10 (3.6–3.9 are dropped).

Detection differences (a consequence of the pinned uchardet)

A UTF-8 byte-order mark is reported as UTF-8-SIG (upstream reports UTF-8).
On 32-bit (i686) builds a few near-equivalent labels differ — e.g. Thai TIS-620 is detected as ISO-8859-11.

Building against a system `uchardet`

By default cChardet builds a bundled copy of uchardet (vendored as a git submodule), which is what the published wheels ship. Distributions and source builds can instead link the system uchardet through the system-uchardet Meson feature option:

`-Dsystem-uchardet=`	Behaviour
`disabled` (default)	Always build the bundled copy (used by the wheels).
`enabled`	Require the system library; the build fails if it is missing or too old. Intended for distro packaging — read the detection-quality caveat below first.
`auto`	Use the system library if it is new enough, otherwise fall back to the bundled copy.

Pass the option through your build front-end. With pip / build the meson-python backend reads it from setup-args:

pip install . --config-settings=setup-args=-Dsystem-uchardet=enabled

Requirement: the system uchardet must be recent enough to expose uchardet_get_n_candidates. That symbol currently ships only in the git version (https://gitlab.freedesktop.org/uchardet/uchardet.git) — no tagged release provides it yet — so enabled/auto probe for it and reject an older library.

[!WARNING] A system build currently detects non-UTF-8 input less accurately than the bundled build. The bundled copy compiles a cChardet-specific replacement for uchardet's multi-byte group prober, which both restores detection throughput and rejects non-UTF-8 byte sequences that upstream reports as UTF-8. A system build links upstream's prober, so neither applies.

Measured over 1650 non-UTF-8 documents spanning 7 encodings (benchmarks/make_nonutf8_corpus.py, median of 3 runs):

Build Throughput Non-UTF-8 reported as UTF-8

bundled (wheel default) 3.10 MB/s 0.0%

system uchardet 1.44 MB/s 16.2%

Reporting non-UTF-8 bytes as UTF-8 is the defect that caused v3.0.0 to be yanked from PyPI, so this is not a cosmetic difference. It is an upstream issue rather than a packaging mistake: nsUTF8Prober does not reject invalid sequences on its own, and its confidence never falls low enough for the candidate to be discarded. Patches have been sent upstream; once they land, the build can require a uchardet version that includes them and this caveat goes away.

If you are packaging cChardet for a distribution that forbids bundled libraries, consider carrying the overlay (src/cchardet/uchardet-overlay/nsMBCSGroupProber.cpp) as a patch against your system uchardet until then. The corpus generator and benchmark above are in-tree, so you can verify the result yourself.

Build	Throughput	Non-UTF-8 reported as UTF-8
bundled (wheel default)	3.10 MB/s	0.0%
system `uchardet`	1.44 MB/s	16.2%

Supported Languages/Encodings

International (Unicode)
- UTF-8
- UTF-16BE / UTF-16LE
- UTF-32BE / UTF-32LE / X-ISO-10646-UCS-4-34121 / X-ISO-10646-UCS-4-21431
Arabic
- ISO-8859-6
- WINDOWS-1256
Bulgarian
- ISO-8859-5
- WINDOWS-1251
Chinese
- ISO-2022-CN
- BIG5
- EUC-TW
- GB18030
- HZ-GB-2312
Croatian:
- ISO-8859-2
- ISO-8859-13
- ISO-8859-16
- Windows-1250
- IBM852
- MAC-CENTRALEUROPE
Czech
- Windows-1250
- ISO-8859-2
- IBM852
- MAC-CENTRALEUROPE
Danish
- ISO-8859-1
- ISO-8859-15
- WINDOWS-1252
English
- ASCII
Esperanto
- ISO-8859-3
Estonian
- ISO-8859-4
- ISO-8859-13
- ISO-8859-13
- Windows-1252
- Windows-1257
Finnish
- ISO-8859-1
- ISO-8859-4
- ISO-8859-9
- ISO-8859-13
- ISO-8859-15
- WINDOWS-1252
French
- ISO-8859-1
- ISO-8859-15
- WINDOWS-1252
German
- ISO-8859-1
- WINDOWS-1252
Greek
- ISO-8859-7
- WINDOWS-1253
Hebrew
- ISO-8859-8
- WINDOWS-1255
Hungarian:
- ISO-8859-2
- WINDOWS-1250
Irish Gaelic
- ISO-8859-1
- ISO-8859-9
- ISO-8859-15
- WINDOWS-1252
Italian
- ISO-8859-1
- ISO-8859-3
- ISO-8859-9
- ISO-8859-15
- WINDOWS-1252
Japanese
- ISO-2022-JP
- SHIFT_JIS
- EUC-JP
Korean
- ISO-2022-KR
- EUC-KR / UHC
Lithuanian
- ISO-8859-4
- ISO-8859-10
- ISO-8859-13
Latvian
- ISO-8859-4
- ISO-8859-10
- ISO-8859-13
Maltese
- ISO-8859-3
Polish:
- ISO-8859-2
- ISO-8859-13
- ISO-8859-16
- Windows-1250
- IBM852
- MAC-CENTRALEUROPE
Portuguese
- ISO-8859-1
- ISO-8859-9
- ISO-8859-15
- WINDOWS-1252
Romanian:
- ISO-8859-2
- ISO-8859-16
- Windows-1250
- IBM852
Russian
- ISO-8859-5
- KOI8-R
- WINDOWS-1251
- MAC-CYRILLIC
- IBM866
- IBM855
Slovak
- Windows-1250
- ISO-8859-2
- IBM852
- MAC-CENTRALEUROPE
Slovene
- ISO-8859-2
- ISO-8859-16
- Windows-1250
- IBM852
- MAC-CENTRALEUROPE

Example

One-shot detection

import cchardet as chardet

with open(r"src/tests/samples/wikipediaJa_One_Thousand_and_One_Nights_SJIS.txt", "rb") as f:
    msg = f.read()
    result = chardet.detect(msg)
    print(result)

Streaming detection

import cchardet

detector = cchardet.UniversalDetector()
with open("bigfile.txt", "rb") as f:
    for line in f:
        detector.feed(line)
        if detector.done:
            break
detector.close()
print(detector.result)

Command line

A cchardetect console script is installed with the package:

$ cchardetect src/tests/samples/wikipediaJa_One_Thousand_and_One_Nights_SJIS.txt
src/tests/samples/wikipediaJa_One_Thousand_and_One_Nights_SJIS.txt: SHIFT_JIS with confidence 0.99

$ cat somefile.txt | cchardetect        # also reads from stdin

Benchmark

$ pip install -e .
$ python src/tests/bench.py

Results

CPU: AMD Ryzen 9 7950X3D

RAM: DDR5-5600MT/s 96GB

Platform: Ubuntu 24.04 amd64

Python 3.12.3

	Request (call/s)
chardet v5.2.0	1.1
cchardet v2.2.0a1	2263.6

LICENSE

See COPYING file.

Contact

Issues

Support Platforms

Prebuilt wheels are published for:

Windows x86_64 (AMD64)
Linux x86_64, i686, aarch64
macOS x86_64, arm64

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

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BLAKE2b-256	`edd3c80c9052264cdc38ca2085dee3cc59af2ffa242cc2f15b44fe555ad0a29e`

Algorithm	Hash digest
SHA256	`687f49e365d28ae9f42e0f04af043bf7c31e1321574366551434e65f7c4e70be`
MD5	`401ee05ab151ad30492a0f7a330de1d1`
BLAKE2b-256	`5e9c733ffc889500271bc162ae3f8c1641f58083ee339013b1152a18b534045a`

Algorithm	Hash digest
SHA256	`7b5d431fbbf8248662717fb518fec0629b6402fe2d622156a969c081d4ebacd2`
MD5	`d683ce4569169b779deec3e2dd880eee`
BLAKE2b-256	`3d81a870740e9dc3ae681d3c83881644aee3ddeb39ef8c5cfcdb8f4f23120871`

Algorithm	Hash digest
SHA256	`edd0018885e67ad46624afe71b3f68851f4248d61b8ebe830f5240078ec319e0`
MD5	`4ef9f5da25304d3e3be8b707a98476b3`
BLAKE2b-256	`031a31c648e8a09526bda077df25659dcc4a939f7865e9e2a2af5e1fd08768e8`

Algorithm	Hash digest
SHA256	`b46a72e1a71f49e711ec52b3e8ad243c2f25ca6ef1026a55e370a99986349155`
MD5	`b55e2f7716b47b7e2bb069a30234067c`
BLAKE2b-256	`5929b5df38699e32ac3ec83807cfe28c1ab0a98c03a8efa0343d27f3479b78cd`

Algorithm	Hash digest
SHA256	`82890a96872dd808ccd82791b7acec2280c8adfdc282065a5f5681810e201f54`
MD5	`036e9b6352765b384e787b18cbc23ff6`
BLAKE2b-256	`f61911ad59eaab8746a2ca10e6d4de7a7870fe94ec82f66624e78928bbfa2c5a`

faust-cchardet 3.1.0

cChardet

This fork (faust-cchardet) vs PyYoshi/cChardet

Building against a system uchardet

Supported Languages/Encodings

Example

One-shot detection

Streaming detection

Command line

Benchmark

Results

Python 3.12.3

LICENSE

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Key dates

1 maintainer

Credits

License

Requires

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This fork (`faust-cchardet`) vs `PyYoshi/cChardet`

Building against a system `uchardet`

Algorithm	Hash digest
SHA256	`3eca51871ce3e97659514969c9846eff353fe96de3414c25681364792cbdbfc1`
MD5	`004c649c31ab05076c7d082b85ba5a56`
BLAKE2b-256	`7d3225628664da0c5a45ab3d40bdab504a72436cd16c1d2407322a98ea1ac8ea`

Algorithm	Hash digest
SHA256	`ac0bb993ef886248626ec9e7853c5cb0b9894b4f042512745accfc3fec115b36`
MD5	`ab046a2a282397a74f3b5b5c5391fb83`
BLAKE2b-256	`598d81f858faf7074f6aa9bb47341c41deef794e694b00852617096792ae3d4b`

Algorithm	Hash digest
SHA256	`549aab5eb46b886156ff38031ce286b54cfd5745da27a2a2efb469a51a8009f1`
MD5	`67937eff08d3307f229adef727bdeaef`
BLAKE2b-256	`477391af046d83ab4eb86b865f1c31ba2563fb66f2450ed829aa77e9c9f6f07a`

Algorithm	Hash digest
SHA256	`227c8b8e48324332f9238b5f4a20d8d80bbc028b8c54543836de0367ca22dee2`
MD5	`b5a1a32df037343b902975230a63aff2`
BLAKE2b-256	`ee4908f32cc32870fd86806fab590b75b6afb9a60f184870868856419b75d8b3`

Algorithm	Hash digest
SHA256	`820f7a4713343b965a319b1d53080671d963b71b34d1517a9049f2fa3c8b9be8`
MD5	`50a19c992e57662805c771cceb2dfaff`
BLAKE2b-256	`cdbcc68dcfe519239937d77c1121110b3cb86b922e6baef8a4810fd589a03721`

Algorithm	Hash digest
SHA256	`76eb450903ee8603834a8078b3cc7143e54d04f2e9fca1625424af3695385de0`
MD5	`07c0c4ceb201c51459171ad435b1d501`
BLAKE2b-256	`8e59a043ed54956fc469b3f70f82f30a7735a50c33f6f245c2431c9c9ca24a7b`

Algorithm	Hash digest
SHA256	`9ff9caf84dd4df65402f87391c65a9439cf06b65ee8e64d13eb827d05f30ecab`
MD5	`51896299ace168005f7d853e54d2d8d3`
BLAKE2b-256	`65f15af52be5108d7cd60fc6d3296d3235558f385609b7e0d412c9294434a21d`

Algorithm	Hash digest
SHA256	`d2a4b1fa5ce61c9e663ef79b0a5777a66ac3371e16db3f5de3293fcce0f93bb4`
MD5	`2de78292ffd45c42d198ff9375267ffd`
BLAKE2b-256	`d6346da297eb0006eed711caa46b503c54fe752a687b6aa9c7fc8b3953fb8b80`

Algorithm	Hash digest
SHA256	`8975139b98dd89fb0c540b3895da4b34f77d9dc46043d68bc00eccaaec541e6a`
MD5	`5041b09a0106f5e3e9bdac677b66e32b`
BLAKE2b-256	`c1969c4253d6bed309e4e14028674d8c670d62937c0e48934d9063eced016ac0`

Algorithm	Hash digest
SHA256	`4747ed5e655e92906d0c4c462fd8faf6d4c89cabd6776b6cbbb5c875cc105c83`
MD5	`2a131795199ab8169169d30b44b30b6d`
BLAKE2b-256	`2dbae59aab86e7414ed9a0c8d9b84719be3d5cbc91912db5c3e4ec96a1ed08c1`