mypy-boto3-notifications
Type annotations for boto3 UserNotifications 1.43.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use boto3's UserNotifications service and want type safety. Install friction is minimal, maintenance is active, and the MIT license poses no restrictions. The only caveat is PyCharm performance—if you use PyCharm heavily, test first or consider boto3-stubs-lite instead. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; boto3 must be installed separately in your environment.
- Low install friction; single runtime dependency on typing-extensions.
- Actively maintained with recent releases; repository shows 670 stars and last commit on 2026-06-22.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 240,862 downloads/mo, #8,896 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-notifications
from boto3.session import Session
from mypy_boto3_notifications import UserNotificationsClient
client: UserNotificationsClient = Session().client("notifications")- Whether performance impact on PyCharm is acceptable for your codebase size (documentation notes potential slowness with Literal overloads).
- Whether boto3-stubs-lite is a better fit if you need lower memory overhead or faster PyCharm performance.
What it is and what it does
This package is a type-stub library that adds complete type annotations for the boto3 UserNotifications service. It's generated automatically from boto3 1.43.0 using mypy-boto3-builder 8.12.0 and works with mypy, pyright, VSCode Pylance, PyCharm, Emacs, Sublime Text, and other type-aware tools. When installed, it enables IDE code completion and static type checking for UserNotifications client methods, paginators, and type definitions without requiring explicit type annotations in your code.
The package is a stub-only library (no runtime code) with a single dependency on typing-extensions. It's designed to be used alongside boto3 itself, either installed standalone or as part of the boto3-stubs bundle. The documentation notes that PyCharm may experience performance issues with the full stubs due to Literal overload handling, and recommends boto3-stubs-lite as an alternative if needed.
Use it for
- Enable IDE autocomplete and type hints when writing boto3 UserNotifications code in VSCode, PyCharm, or other editors.
- Catch type errors in boto3 UserNotifications calls using mypy or pyright in CI/CD pipelines before runtime.
- Provide explicit type annotations for UserNotificationsClient, paginators, and service types in production code.
- Improve code maintainability by documenting expected argument and return types for boto3 UserNotifications operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use boto3's UserNotifications service and want type safety.
Install friction is minimal, maintenance is active, and the MIT license poses no restrictions. The only caveat is PyCharm performance—if you use PyCharm heavily, test first or consider boto3-stubs-lite instead. No known vulnerabilities.
Install
mypy-boto3-notifications on PyPI
Before you install
Low install friction; single runtime dependency on typing-extensions. Actively maintained with recent releases; repository shows 670 stars and last commit on 2026-06-22.
Requires Python 3.9 or later; boto3 must be installed separately in your environment.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
Quickstart
pip install mypy-boto3-notifications
from boto3.session import Session
from mypy_boto3_notifications import UserNotificationsClient
client: UserNotificationsClient = Session().client("notifications")Verify before relying
- Whether performance impact on PyCharm is acceptable for your codebase size (documentation notes potential slowness with Literal overloads).
- Whether boto3-stubs-lite is a better fit if you need lower memory overhead or faster PyCharm performance.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 107 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 240,862 / month, #8,896 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 :: ConsoleIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming 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 :: 3.9Programming Language :: Python :: Implementation :: CPythonTyping :: Stubs Only |
Evidence: mypy_boto3_notifications-1.43.0-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 › “boto3 type stubs notifications”
- mypy-boto3-notificationsProvides type annotations and IDE autocompletion for boto3's…
- mypy-boto3-codestar-notificationsProvides type annotations for boto3's CodeStarNotifications service,…
- types-boto3-stepfunctionsProvides type stubs and IDE-aware type annotations for boto3's Step…
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 mypy-boto3-iot · mypy-boto3-evidently · mypy-boto3-ec2 · mypy-boto3-chime-sdk-messaging · mypy-boto3-chime · mypy-boto3-neptune · mypy-boto3-connect · mypy-boto3-codestar-notifications · mypy-boto3-config · mypy-boto3-chatbot