python-crfsuite
Python binding for CRFsuite
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight, dependency-free conditional random field library for sequence labeling. The package is stable, permissively licensed, and well-supported on modern Python versions. Install friction is moderate due to compiled extensions, but prebuilt wheels mitigate this for common platforms. Maintenance is aging but the repository remains active; suitable for established production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10.
- Prebuilt wheels exist for common platforms; source builds require a C/C++ compiler.
- Medium install friction due to compiled extensions, but prebuilt wheels are available for Python 3.10–3.14 on macOS, Linux (manylinux and musl), and Windows.
License · maintenance · safety
MIT License (permissive) — MIT-licensed package with a bundled BSD-licensed CRFsuite C/C++ library. Both are permissive, so commercial and proprietary use is permitted without restriction.
last release 2025-12-23 (234 days) · last repo commit 2025-12-23 · 774 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,340,213 downloads/mo, #1,927 on PyPI
Alternatives
Verify before relying
pip install python-crfsuite
import python_crfsuite
trainer = python_crfsuite.Trainer(verbose=False)
trainer.append(xseq, yseq)
trainer.train('model.crfsuite')- Whether the package is actively maintained or in maintenance-only mode given the 'aging' status
- Performance characteristics compared to alternative CRF implementations or wrappers
- Specific API surface and available methods beyond trainer and tagger interfaces
What it is and what it does
python-crfsuite wraps the CRFsuite C/C++ library using Cython, providing a Python interface for conditional random field models. It is designed for sequence labeling tasks where you need to predict structured outputs based on features extracted from sequential data.
The package bundles CRFsuite and has no external runtime dependencies, making it lightweight to install. It supports Python 3.10 through 3.14 and is available as prebuilt wheels on major platforms. The binding exposes a trainer for fitting models and a tagger for inference, with a simpler codebase than some alternatives while remaining faster than the official SWIG wrapper.
Use it for
- Named entity recognition: tag person, organization, location, and other entity types in text
- Part-of-speech tagging: label each word in a sentence with its grammatical role
- Information extraction: extract structured fields from unstructured text
- Chunking and segmentation: identify noun phrases, verb phrases, or other syntactic units
- Biomedical text mining: tag genes, proteins, diseases, or other domain entities in scientific literature
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight, dependency-free conditional random field library for sequence labeling.
The package is stable, permissively licensed, and well-supported on modern Python versions. Install friction is moderate due to compiled extensions, but prebuilt wheels mitigate this for common platforms. Maintenance is aging but the repository remains active; suitable for established production use.
Install
python-crfsuite on PyPI
Before you install
Medium install friction due to compiled extensions, but prebuilt wheels are available for Python 3.10–3.14 on macOS, Linux (manylinux and musl), and Windows. Last release was 234 days ago; repository is active and not archived, though maintenance status is aging.
Requires Python >=3.10. Prebuilt wheels exist for common platforms; source builds require a C/C++ compiler.
License in practice
MIT-licensed package with a bundled BSD-licensed CRFsuite C/C++ library. Both are permissive, so commercial and proprietary use is permitted without restriction.
Quickstart
pip install python-crfsuite
import python_crfsuite
trainer = python_crfsuite.Trainer(verbose=False)
trainer.append(xseq, yseq)
trainer.train('model.crfsuite')Verify before relying
- Whether the package is actively maintained or in maintenance-only mode given the 'aging' status
- Performance characteristics compared to alternative CRF implementations or wrappers
- Specific API surface and available methods beyond trainer and tagger interfaces
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Aging 234 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,340,213 / month, #1,927 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: CythonProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software DevelopmentTopic :: Software Development :: Libraries :: Python ModulesTopic :: Text Processing :: Linguistic |
Evidence: python_crfsuite-0.9.12-cp310-cp310-macosx_11_0_arm64.whl; python_crfsuite-0.9.12-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; python_crfsuite-0.9.12-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; python_crfsuite-0.9.12-cp310-cp310-musllinux_1_2_aarch64.whl; python_crfsuite-0.9.12-cp310-cp310-musllinux_1_2_x86_64.whl; python_crfsuite-0.9.12-cp310-cp310-win32.whl; python_crfsuite-0.9.12-cp310-cp310-win_amd64.whl; python_crfsuite-0.9.12-cp311-cp311-macosx_11_0_arm64.whl; python_crfsuite-0.9.12-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; python_crfsuite-0.9.12-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; python_crfsuite-0.9.12-cp311-cp311-musllinux_1_2_aarch64.whl; python_crfsuite-0.9.12-cp311-cp311-musllinux_1_2_x86_64.whl; python_crfsuite-0.9.12-cp311-cp311-win32.whl; python_crfsuite-0.9.12-cp311-cp311-win_amd64.whl; python_crfsuite-0.9.12-cp312-cp312-macosx_11_0_arm64.whl; python_crfsuite-0.9.12-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; python_crfsuite-0.9.12-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; python_crfsuite-0.9.12-cp312-cp312-musllinux_1_2_aarch64.whl; python_crfsuite-0.9.12-cp312-cp312-musllinux_1_2_x86_64.whl; python_crfsuite-0.9.12-cp312-cp312-win32.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “conditional random fields python”
- python-crfsuitePython binding to CRFsuite for conditional random field sequence…
- sklearn-crfsuitesklearn-crfsuite wraps CRFsuite (Conditional Random Fields) as a…
- usaddressusaddress parses unstructured US address strings into labeled…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also sklearn-crfsuite · probablepeople · tf2crf · seqeval · urduhack · spacy · usaddress · rjieba · flair · pymorphy2