mypy-boto3-qapps
Type annotations for boto3 QApps 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 QApps in a typed Python project, this stub package is worth installing. It has low install friction, active maintenance, no security vulnerabilities, permissive licensing, and directly enables type safety and IDE support for a service you're already using. Install it alongside boto3 in your development environment; it has no runtime overhead and works transparently with standard type checkers.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.
- Active maintenance 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 in both open-source and proprietary projects with minimal obligations.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 241,303 downloads/mo, #8,881 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-qapps
from boto3.session import Session
from mypy_boto3_qapps import QAppsClient
client: QAppsClient = Session().client("qapps")- Whether performance impact in PyCharm is acceptable for your project size (documentation notes potential slowness with Literal overloads).
- Whether boto3-stubs-lite is a better fit if you need lighter memory footprint or faster PyCharm performance.
What it is and what it does
This package is a type stub library for boto3's QApps service, generated by mypy-boto3-builder 8.12.0. It provides complete type annotations for the QAppsClient, paginators, and type definitions, allowing your IDE and type checker to understand boto3 QApps API calls and offer accurate code completion and error detection.
It works by sitting alongside boto3 in your Python environment and providing type information that tools like mypy, pyright, VSCode Pylance, PyCharm, and Emacs can use to validate your code. You install it separately from boto3, and once installed, your type checker automatically picks up the annotations when you use boto3.client("qapps"). The package supports Python 3.9 through 3.14 and is compatible with multiple IDEs and type checkers.
Use it for
- Enable IDE autocomplete and type checking for boto3 QApps API calls in VSCode with Pylance or PyCharm.
- Catch type errors in QApps client usage before runtime using mypy or pyright in CI/CD pipelines.
- Get accurate parameter and return type hints when working with QAppsClient methods and paginators.
- Support explicit type annotations in codebases that use TYPE_CHECKING guards to avoid runtime dependencies.
- Improve code maintainability by documenting expected types for QApps API interactions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
If you use boto3 QApps in a typed Python project, this stub package is worth installing. It has low install friction, active maintenance, no security vulnerabilities, permissive licensing, and directly enables type safety and IDE support for a service you're already using. Install it alongside boto3 in your development environment; it has no runtime overhead and works transparently with standard type checkers.
Install
mypy-boto3-qapps on PyPI
Before you install
Low install friction; single runtime dependency on typing-extensions. Active maintenance 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 in both open-source and proprietary projects with minimal obligations.
Quickstart
pip install mypy-boto3-qapps
from boto3.session import Session
from mypy_boto3_qapps import QAppsClient
client: QAppsClient = Session().client("qapps")Verify before relying
- Whether performance impact in PyCharm is acceptable for your project size (documentation notes potential slowness with Literal overloads).
- Whether boto3-stubs-lite is a better fit if you need lighter memory footprint 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 | 241,303 / month, #8,881 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_qapps-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 qapps”
- mypy-boto3-qappsProvides type annotations for the boto3 QApps service, enabling…
- types-boto3-stepfunctionsProvides type stubs and IDE-aware type annotations for boto3's Step…
- mypy-boto3-connectProvides type annotations and IDE autocomplete support for the boto3…
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-ec2 · mypy-boto3-panorama · mypy-boto3-detective · mypy-boto3-connect · mypy-boto3-support-app · boto3-stubs-full · mypy-boto3-iot · mypy-boto3-sagemaker · mypy-boto3-sqs · boto3-stubs-lite