types-aiobotocore-sagemaker

What it is and what it does

This package is a type-stub library that adds static type annotations to aiobotocore's SageMaker service. It is generated automatically using mypy-boto3-builder and provides IDE autocomplete, type checking, and inline documentation for SageMaker client methods, paginators, and waiters. The stubs work with mypy, pyright, VSCode (with Pylance), PyCharm, Emacs, Sublime Text, and other tools that support Python type hints.

The package is designed as a development-time dependency: you install it in your environment to get IDE support and type checking, but it contains no runtime code and can be safely excluded from production deployments using TYPE_CHECKING guards. It depends only on typing-extensions and requires Python 3.9 or later. The documentation notes that PyCharm users may experience performance issues with the full version due to Literal overload handling and recommends the lite variant as an alternative.

Use it for:

• Enable IDE autocomplete and type hints when writing async SageMaker code with aiobotocore in VSCode or PyCharm.
• Catch type errors in SageMaker API calls during development using mypy or pyright static analysis.
• Document SageMaker client method signatures and parameter types for team members using the same codebase.
• Provide inline method documentation and parameter hints in Emacs or Sublime Text via LSP-pyright integration.
• Validate paginator and waiter usage with explicit type annotations for SageMaker operations.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides type annotations and IDE autocomplete support for aiobotocore's SageMaker service, enabling type checking in mypy, pyright, VSCode, PyCharm, and other tools.

Yes. This is a low-friction, actively maintained type-stub package with no known vulnerabilities and permissive MIT licensing. Install it if you use aiobotocore with SageMaker and want IDE autocomplete or static type checking. It is a development-only dependency and can be safely excluded from production code. PyCharm users should monitor performance; if slow, switch to the lite variant.

Install

types-aiobotocore-sagemaker on PyPI

pip install types-aiobotocore-sagemaker

uv add types-aiobotocore-sagemaker

poetry add types-aiobotocore-sagemaker

Installing types-aiobotocore-sagemaker

Before you install

Low install friction; single runtime dependency on typing-extensions. Active maintenance with recent release (12 days old) and 670 repository stars. Classified as Production/Stable.

License in practice

MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations.

Quickstart

# Install
python -m pip install types-aiobotocore-sagemaker

# Use with aiobotocore
from aiobotocore.session import get_session
from types_aiobotocore_sagemaker import SageMakerClient

session = get_session()
async with session.create_client("sagemaker") as client:
    client: SageMakerClient
    # Type checking and autocomplete now work

Requires aiobotocore 3.9.0 to be installed separately; type annotations are stubs-only and do not provide runtime functionality.

Verify before relying

• Whether PyCharm performance issues with Literal overloads (PY-40997) have been resolved or if lite version remains recommended.
• Compatibility with aiobotocore versions other than 3.9.0 and whether forward/backward compatibility is supported.

Package facts

Evidence: types_aiobotocore_sagemaker-3.9.0-py3-none-any.whl

Keywords: aiobotocore, sagemaker, aiobotocore-stubs, type-annotations, mypy, typeshed, autocomplete

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