types-aiobotocore-securityhub
Type annotations for aiobotocore SecurityHub 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use aiobotocore with SecurityHub and want IDE support or static type checking. The package is lightweight (one pure-Python dependency), actively maintained, and carries no security vulnerabilities. Install it as a development dependency to gain immediate type safety and autocomplete without modifying your application code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; aiobotocore 3.9.0 must be installed separately to use the annotated client.
- Low friction: single pure-Python dependency (typing-extensions), wheel-only distribution, and actively maintained with a recent release.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.
last release 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 142,120 downloads/mo, #11,224 on PyPI
Alternatives
Verify before relying
# Install
python -m pip install types-aiobotocore-securityhub
# Use in code
from aiobotocore.session import get_session
from types_aiobotocore_securityhub import SecurityHubClient
session = get_session()
async with session.create_client("securityhub") as client:
client: SecurityHubClient # Type checker now understands client methods- Whether PyCharm performance issues with Literal overloads mentioned in the docs have been resolved in recent PyCharm versions.
- Whether the lite variant (types-aiobotocore-lite) is recommended over the full version for new projects.
What it is and what it does
This package is a type-stub library that adds static type information to aiobotocore's SecurityHub service. It is generated from aiobotocore 3.9.0 and works with IDEs (VSCode, PyCharm, Emacs, Sublime Text) and type checkers (mypy, pyright) to provide code completion and catch type errors at development time rather than runtime.
The package contains no runtime code—it is purely annotations. When installed alongside aiobotocore, it enables your editor and type checker to understand the shape of SecurityHub client methods, paginators, and data structures. This is especially useful for async code using aiobotocore, where IDE support is otherwise limited. The package supports Python 3.9 through 3.14 and is actively maintained.
Use it for
- Enable IDE autocomplete and type checking when writing async AWS SecurityHub code with aiobotocore in VSCode or PyCharm.
- Catch type errors in SecurityHub API calls (e.g., wrong parameter names or types) before runtime using mypy or pyright.
- Document SecurityHub client method signatures and return types in your codebase without writing manual type hints.
- Support paginator type annotations for SecurityHub list operations in async workflows.
- Use TYPE_CHECKING guards to include type stubs only during development, keeping production dependencies minimal.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use aiobotocore with SecurityHub and want IDE support or static type checking.
The package is lightweight (one pure-Python dependency), actively maintained, and carries no security vulnerabilities. Install it as a development dependency to gain immediate type safety and autocomplete without modifying your application code.
Install
types-aiobotocore-securityhub on PyPI
Before you install
Low friction: single pure-Python dependency (typing-extensions), wheel-only distribution, and actively maintained with a recent release.
Requires Python 3.9 or later; aiobotocore 3.9.0 must be installed separately to use the annotated client.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.
Quickstart
# Install
python -m pip install types-aiobotocore-securityhub
# Use in code
from aiobotocore.session import get_session
from types_aiobotocore_securityhub import SecurityHubClient
session = get_session()
async with session.create_client("securityhub") as client:
client: SecurityHubClient # Type checker now understands client methods
Verify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the docs have been resolved in recent PyCharm versions.
- Whether the lite variant (types-aiobotocore-lite) is recommended over the full version for new projects.
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 12 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 142,120 / month, #11,224 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: types_aiobotocore_securityhub-3.9.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
An agent finds packages by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language. Give your agent the search over MCP.
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-securityhub · types-aiobotocore-iot · types-aiobotocore-ec2 · types-aiobotocore-s3 · types-aiobotocore · types-aiobotocore-cloudformation · types-aiobotocore-ses · types-aiobotocore-connect · types-aiobotocore-kms · types-aiobotocore-translate