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cld3-py

Compact Language Detector v3 (CLD3) Python bindings — modernised fork with prebuilt wheels for Python 3.10–3.14.

With conditionsPyPI Artificial IntelligenceReleased Apr 202693.6K downloads / mopermissive licensePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — cld3_py-3.1.0-cp310-cp310-macosx_10_15_x86_64.whl · cld3_py-3.1.0-cp310-cp310-macosx_11_0_arm64.whl · cld3_py-3.1.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
v3.1.0 · released 2026-04-23 · Python >=3.10

Yes, if you need reliable language detection without external API calls or heavy dependencies. The prebuilt wheels make installation straightforward on common platforms, the Apache License is permissive, and active maintenance ensures compatibility with current Python versions. Medium install friction is acceptable for a compiled model. Verify accuracy on your specific text types before production use.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Medium install friction due to compiled C++ bindings, but prebuilt wheels are available for Python 3.10, 3.11, 3.12, 3.13, 3.14 across macOS (Intel and ARM), Linux (manylinux and musllinux), and Windows.
  • Active maintenance with recent releases.

License · maintenance · safety

permissive license (permissive) — Apache License permissive license allows commercial and private use with minimal restrictions; attribution required but no copyleft obligations.

last release 2026-04-23 (113 days) · last repo commit 2026-04-23 · 1 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 93,597 downloads/mo, #13,376 on PyPI

Verify before relying

pip install cld3-py

import gcld3

detector = gcld3.NNetLanguageIdentifier(min_num_bytes=0, max_num_bytes=1000)
result = detector.FindLanguage(text="This text is written in English.")
print(result.language, result.probability, result.is_reliable)
  • Actual accuracy and reliability metrics on real-world multilingual corpora
  • Performance characteristics (latency, memory footprint) for typical use cases
  • Whether the package handles mixed-script or code-switched text reliably
  • Total number of supported languages and script variants
Same gist for agents: .md · .json

What it is and what it does

cld3-py is a Python wrapper around a neural network model for language identification. It takes text input and returns the detected language as a BCP-47 code (e.g., 'en' for English, 'bg-Latn' for Bulgarian in Latin script) along with a confidence probability, reliability flag, and proportion of the text in that language. The model works by extracting character n-grams from input, hashing them to embedding vectors, and passing the averaged embeddings through a neural network with a hidden layer and softmax output.

The package is a modernized fork with prebuilt wheels for recent Python versions and multiple platforms, eliminating the need to compile C++ code during installation on most systems. It supports Python 3.10 through 3.14 (including free-threaded builds) and runs on macOS, Linux, and Windows. The API is backward-compatible with the original gcld3 package, so existing code imports work unchanged.

Use it for

  • Automatically classify user-generated content by language for routing to appropriate moderation or translation pipelines
  • Detect language in multilingual documents to split and process sections separately
  • Filter or prioritize search results by language without relying on HTTP headers or user metadata
  • Identify the primary language of web pages or social media posts for content aggregation
  • Validate language metadata in datasets or correct misclassified language tags

Worth the install?

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

With conditions

Yes, if you need reliable language detection without external API calls or heavy dependencies.

The prebuilt wheels make installation straightforward on common platforms, the Apache License is permissive, and active maintenance ensures compatibility with current Python versions. Medium install friction is acceptable for a compiled model. Verify accuracy on your specific text types before production use.

Install

cld3-py on PyPI

Before you install

Medium install friction due to compiled C++ bindings, but prebuilt wheels are available for Python 3.10, 3.11, 3.12, 3.13, 3.14 across macOS (Intel and ARM), Linux (manylinux and musllinux), and Windows. Active maintenance with recent releases.

License in practice

Apache License permissive license allows commercial and private use with minimal restrictions; attribution required but no copyleft obligations.

Quickstart

pip install cld3-py

import gcld3

detector = gcld3.NNetLanguageIdentifier(min_num_bytes=0, max_num_bytes=1000)
result = detector.FindLanguage(text="This text is written in English.")
print(result.language, result.probability, result.is_reliable)

Verify before relying

  • Actual accuracy and reliability metrics on real-world multilingual corpora
  • Performance characteristics (latency, memory footprint) for typical use cases
  • Whether the package handles mixed-script or code-switched text reliably
  • Total number of supported languages and script variants

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceActively maintained 113 days since the last release
Last repo commit
First released
Downloads93,597 / month, #13,376 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: C++Programming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Text Processing :: Linguistic

Evidence: cld3_py-3.1.0-cp310-cp310-macosx_10_15_x86_64.whl; cld3_py-3.1.0-cp310-cp310-macosx_11_0_arm64.whl; cld3_py-3.1.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; cld3_py-3.1.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; cld3_py-3.1.0-cp310-cp310-musllinux_1_2_aarch64.whl; cld3_py-3.1.0-cp310-cp310-musllinux_1_2_x86_64.whl; cld3_py-3.1.0-cp310-cp310-win_amd64.whl; cld3_py-3.1.0-cp311-cp311-macosx_10_15_x86_64.whl; cld3_py-3.1.0-cp311-cp311-macosx_11_0_arm64.whl; cld3_py-3.1.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; cld3_py-3.1.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; cld3_py-3.1.0-cp311-cp311-musllinux_1_2_aarch64.whl; cld3_py-3.1.0-cp311-cp311-musllinux_1_2_x86_64.whl; cld3_py-3.1.0-cp311-cp311-win_amd64.whl; cld3_py-3.1.0-cp312-cp312-macosx_10_15_x86_64.whl; cld3_py-3.1.0-cp312-cp312-macosx_11_0_arm64.whl; cld3_py-3.1.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl; cld3_py-3.1.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; cld3_py-3.1.0-cp312-cp312-musllinux_1_2_aarch64.whl; cld3_py-3.1.0-cp312-cp312-musllinux_1_2_x86_64.whl

Tags

Capabilities
language detectionlanguage identificationdetect text languagenlp language classifiercld3 python bindingsmultilingual text detectionlanguage recognition
Topics
language-detectionneural-networknlp
PyPI keywords
language-detectionnlpcld3language-identification

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See also gcld3 · pycld3 · pycld2 · lingua-language-detector · dlib-bin · langdetect · openbabel-wheel · minisbd · cchardet · fasttext-langdetect