types-aiobotocore-ssm
Type annotations for aiobotocore SSM 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. This is a lightweight, actively maintained type stub with no security vulnerabilities, permissive MIT licensing, and low install friction. Install it if you use aiobotocore SSM and want IDE autocomplete and static type checking; use a TYPE_CHECKING guard to keep it out of production builds.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.
- Low friction installation with a single lightweight dependency (typing-extensions).
- Actively maintained, with latest release on 2026-08-02 and repository 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 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 357,575 downloads/mo, #7,267 on PyPI
Alternatives
Verify before relying
pip install types-aiobotocore-ssm
from aiobotocore.session import get_session
from types_aiobotocore_ssm import SSMClient
session = get_session()
async with session.create_client("ssm") as client:
client: SSMClient
# Type checking and IDE completion now work- Whether PyCharm performance issues with Literal overloads mentioned in the description have been resolved.
- Whether the lite variant is recommended for production to reduce memory overhead.
- Actual performance impact when used with large codebases or complex SSM operations.
What it is and what it does
This package is a type stub library that adds static type information to aiobotocore's SSM service. It was generated using mypy-boto3-builder 8.12.0 and provides complete type annotations for SSM client operations, paginators, and waiters. When installed, it enables IDEs and type checkers to understand the code, offering autocomplete suggestions and catching type errors before runtime.
The package is designed as a development-only dependency—you can use TYPE_CHECKING guards to exclude it from production builds. It works with multiple type checkers (mypy, pyright) and IDEs (VSCode with Pylance, PyCharm, Emacs, Sublime Text) without requiring explicit type annotations in your code. The library depends only on typing-extensions and supports Python 3.9, 3.10, 3.11, 3.12, 3.13, and 3.14.
Use it for
- Add IDE autocomplete and type hints to SSM code in VSCode or PyCharm without manual annotations.
- Run mypy or pyright static type checking on async SSM operations to catch errors before deployment.
- Enable code completion for SSM client methods, paginators, and waiters in Emacs or Sublime Text.
- Verify correct parameter types and return values for SSM API calls during development.
- Use in a TYPE_CHECKING block to get type safety in development while keeping production dependencies minimal.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a lightweight, actively maintained type stub with no security vulnerabilities, permissive MIT licensing, and low install friction. Install it if you use aiobotocore SSM and want IDE autocomplete and static type checking; use a TYPE_CHECKING guard to keep it out of production builds.
Install
types-aiobotocore-ssm on PyPI
Before you install
Low friction installation with a single lightweight dependency (typing-extensions). Actively maintained, with latest release on 2026-08-02 and repository last commit on 2026-06-22.
Requires Python 3.9 or later; aiobotocore 3.9.0 must be installed separately.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations.
Quickstart
pip install types-aiobotocore-ssm
from aiobotocore.session import get_session
from types_aiobotocore_ssm import SSMClient
session = get_session()
async with session.create_client("ssm") as client:
client: SSMClient
# Type checking and IDE completion now workVerify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the description have been resolved.
- Whether the lite variant is recommended for production to reduce memory overhead.
- Actual performance impact when used with large codebases or complex SSM operations.
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 | 357,575 / month, #7,267 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_ssm-3.9.0-py3-none-any.whl
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See also types-aiobotocore-acm · types-aiobotocore-sqs · types-aiobotocore-iam · types-aiobotocore-iot · types-aiobotocore-ec2 · types-aiobotocore-s3 · types-aiobotocore-translate · types-aiobotocore-dataexchange · types-aiobotocore-sts · types-aiobotocore-secretsmanager