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pyobjc-framework-LatentSemanticMapping

Wrappers for the framework LatentSemanticMapping on macOS

With conditionsPyPI Python ModulesReleased Aug 2026656.4K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pyobjc_framework_latentsemanticmapping-12.2.2-py2.py3-none-any.whl
v12.2.2 · released 2026-08-11 · Python >=3.10 · 2 runtime deps: pyobjc-core, pyobjc-framework-Cocoa

Yes, if you are developing on macOS and need to classify text using the native LatentSemanticMapping framework from Python. The package is actively maintained, has no known vulnerabilities, and installs with low friction. However, be aware that Apple's minimal documentation for the underlying framework makes practical implementation challenging—you will need to invest time in understanding both PyObjC's translation layer and Apple's sparse framework documentation before productive use.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires macOS 10.5 or later and Python 3.10+; framework is not available on other operating systems.
  • Low friction installation with a pure-wheel distribution.
  • Actively maintained as of 3 days ago with recent commits and no known vulnerabilities.

License · maintenance · safety

MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.

last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 803 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 656,410 downloads/mo, #5,493 on PyPI

Verify before relying

pip install pyobjc-framework-latentsemanticmapping

from LatentSemanticMapping import LSMCategory
# Access macOS LatentSemanticMapping framework via Python
  • Practical usability of the underlying LatentSemanticMapping framework given Apple's minimal documentation, as noted in the package description.
  • Whether the framework remains actively maintained by Apple or is deprecated on modern macOS versions.
Same gist for agents: .md · .json

What it is and what it does

This package wraps Apple's LatentSemanticMapping framework for use in Python, enabling text and token-based content classification into custom categories on macOS. It is part of the PyObjC project, which bridges Objective-C frameworks to Python, and requires both pyobjc-core and pyobjc-framework-Cocoa as runtime dependencies.

The package is production-stable and actively maintained, supporting Python 3.10 through 3.15. However, the underlying macOS framework has minimal Apple documentation, which significantly limits practical usability. Users will need to consult both PyObjC's translation documentation and Apple's sparse framework guides to implement classification workflows effectively.

Use it for

  • Build text classification systems on macOS that leverage native framework APIs without reimplementing semantic analysis.
  • Integrate macOS-native text categorization into Python applications that need to run on Apple platforms.
  • Prototype semantic text analysis workflows using Python while accessing low-level macOS framework capabilities.
  • Develop cross-language applications that bridge Python logic with Objective-C framework functionality on macOS.

Worth the install?

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

With conditions

Yes, if you are developing on macOS and need to classify text using the native LatentSemanticMapping framework from Python.

The package is actively maintained, has no known vulnerabilities, and installs with low friction. However, be aware that Apple's minimal documentation for the underlying framework makes practical implementation challenging—you will need to invest time in understanding both PyObjC's translation layer and Apple's sparse framework documentation before productive use.

Install

pyobjc-framework-latentsemanticmapping on PyPI

Before you install

Low friction installation with a pure-wheel distribution. Actively maintained as of 3 days ago with recent commits and no known vulnerabilities. Requires pyobjc-core and pyobjc-framework-Cocoa as dependencies.

Requires macOS 10.5 or later and Python 3.10+; framework is not available on other operating systems.

License in practice

MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.

Quickstart

pip install pyobjc-framework-latentsemanticmapping

from LatentSemanticMapping import LSMCategory
# Access macOS LatentSemanticMapping framework via Python

Verify before relying

  • Practical usability of the underlying LatentSemanticMapping framework given Apple's minimal documentation, as noted in the package description.
  • Whether the framework remains actively maintained by Apple or is deprecated on modern macOS versions.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
pyobjc-corepyobjc-framework-Cocoa
MaintenanceActively maintained 3 days since the last release
Last repo commit
First released
Downloads656,410 / month, #5,493 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS X :: CocoaIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: MacOS :: MacOS XProgramming Language :: Objective CProgramming Language :: PythonProgramming 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 :: 3.14Programming Language :: Python :: 3.15Programming Language :: Python :: Free Threading :: 3 - StableProgramming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: User Interfaces

Evidence: pyobjc_framework_latentsemanticmapping-12.2.2-py2.py3-none-any.whl

Tags

Capabilities
text classification macOSlatent semantic mapping pythonpyobjc framework bindingsmacos text categorizationtoken-based content classificationobjective-c framework wrappersemantic text analysis mac
Topics
macos-onlyobjective-c-bridgetext-classification
PyPI keywords
PyObjCLatentSemanticMapping

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See also pyobjc-framework-InputMethodKit · pyobjc-framework-CoreML · pyobjc-framework-Network · pyobjc-framework-NaturalLanguage · pyobjc-framework-SharedWithYouCore · pyobjc-framework-MediaExtension · pyobjc-framework-KernelManagement · pyobjc-framework-ClassKit · pyobjc-framework-AutomaticAssessmentConfiguration · pyobjc-framework-Vision