pyobjc-framework-AppTrackingTransparency
Wrappers for the framework AppTrackingTransparency on macOS
Decision gist · record as of 2026-08-14
Yes, if you are building a macOS application in Python that needs to request app tracking permission. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install only if you are developing for macOS; it will not work on other platforms.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- macOS 10.15+ required; Python 3.10+ required; only runs on macOS (not cross-platform)
- Low friction; pure-Python wheel distribution.
- Actively maintained with recent release (3 days old).
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 803 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 649,353 downloads/mo, #5,575 on PyPI
Alternatives
Verify before relying
pip install pyobjc-framework-apptrackingtransparency
from AppTrackingTransparency import ATTrackingManager
# Request tracking authorization
ATTrackingManager.requestTrackingAuthorizationWithCompletionHandler_(callback)- Whether this package works on iOS via Pythonista or similar iOS Python environments, or is strictly macOS-only
- Whether the package supports App Tracking Transparency on macOS versions prior to 10.15 (when the framework was introduced)
What it is and what it does
This package wraps Apple's AppTrackingTransparency framework for use in Python on macOS. It allows applications to request permission from users to track their activity across other apps and websites, and to check the current tracking authorization status. The wrapper translates between Python and Objective-C, bridging the gap between PyObjC's runtime and Apple's native framework.
The package is part of the larger PyObjC project and provides direct access to the framework's APIs without additional documentation of its own—users must refer to Apple's official AppTrackingTransparency documentation and PyObjC's general translation guidelines. It is actively maintained, supports modern Python versions (3.10 through 3.15), and carries no known security vulnerabilities.
Use it for
- Request app tracking permission from macOS users in compliance with privacy regulations
- Check the current tracking authorization status before attempting to track user activity
- Integrate privacy-aware tracking into Python-based macOS applications
- Build cross-platform Python apps that handle tracking transparency on macOS
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building a macOS application in Python that needs to request app tracking permission.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install only if you are developing for macOS; it will not work on other platforms.
Install
pyobjc-framework-apptrackingtransparency on PyPI
Before you install
Low friction; pure-Python wheel distribution. Actively maintained with recent release (3 days old). Requires pyobjc-core and pyobjc-framework-Cocoa as runtime dependencies.
macOS 10.15+ required; Python 3.10+ required; only runs on macOS (not cross-platform)
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pyobjc-framework-apptrackingtransparency
from AppTrackingTransparency import ATTrackingManager
# Request tracking authorization
ATTrackingManager.requestTrackingAuthorizationWithCompletionHandler_(callback)Verify before relying
- Whether this package works on iOS via Pythonista or similar iOS Python environments, or is strictly macOS-only
- Whether the package supports App Tracking Transparency on macOS versions prior to 10.15 (when the framework was introduced)
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespyobjc-corepyobjc-framework-Cocoa |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 649,353 / month, #5,575 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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_apptrackingtransparency-12.2.2-py2.py3-none-any.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 › “macos app tracking transparency”
- pyobjc-framework-AppTrackingTransparencyProvides Python bindings to macOS's AppTrackingTransparency…
- pyobjc-framework-ClassKitProvides Python bindings to Apple's ClassKit framework on macOS,…
- django-appconfProvides a base class for Django apps to define and manage…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also pyobjc-framework-LinkPresentation · pyobjc-framework-NotificationCenter · pyobjc-framework-Accounts · pyobjc-framework-FileProvider · pyobjc-framework-LocalAuthenticationEmbeddedUI · pyobjc-framework-Accessibility · pyobjc-framework-VideoSubscriberAccount · pyobjc-framework-UserNotifications · pyobjc-framework-LocalAuthentication · Send2Trash