---
id: mypy-boto3-sagemaker-metrics
version: "1.43.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# mypy-boto3-sagemaker-metrics — Type annotations for boto3 SageMakerMetrics 1.43.0 service generated with mypy-boto3-builder 8.12.0

License: permissive · Maintenance: active · Downloads: 243.3K/mo

## What it is and what it does

This package is a stub-only type annotation library for the boto3 SageMakerMetrics service. It was generated by mypy-boto3-builder 8.12.0 and provides complete type hints for SageMakerMetrics client operations, enabling static type checkers (mypy, pyright) and IDEs (VSCode, PyCharm, Emacs, Sublime Text) to validate boto3 code and offer accurate autocomplete suggestions.

The package depends only on typing-extensions and is designed to be installed alongside boto3 in your development environment. It does not execute at runtime—it exists purely to improve the development experience by catching type errors early and providing IDE support. You can safely use it with TYPE_CHECKING guards to avoid adding it as a production dependency.

Use it for:

- Enable mypy or pyright type checking on boto3 SageMakerMetrics code in CI/CD pipelines.
- Get IDE autocomplete and inline type hints for SageMakerMetrics client methods in VSCode or PyCharm.
- Catch type errors in boto3 SageMakerMetrics calls before runtime using static analysis.
- Use SageMakerMetricsClient type annotations to document expected boto3 client types in function signatures.
- Validate correct parameter types for SageMakerMetrics API calls during development.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides type annotations and IDE autocomplete support for boto3's SageMakerMetrics service, enabling static type checking with mypy, pyright, and other tools.

Yes, if you use boto3 SageMakerMetrics and want static type checking or IDE support. The package is actively maintained, has no security vulnerabilities, installs with minimal friction, and carries a permissive MIT license. Install it as a development dependency (optionally guarded by TYPE_CHECKING) to improve code quality without production overhead.

## Install

pip install mypy-boto3-sagemaker-metrics
uv add mypy-boto3-sagemaker-metrics
poetry add mypy-boto3-sagemaker-metrics

## Installing mypy-boto3-sagemaker-metrics

Before you install: Low friction install with a single runtime dependency (typing-extensions). Actively maintained; last commit 2026-06-22 with 670 repository stars.

License in practice: MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.

Quickstart:

# Install
python -m pip install mypy-boto3-sagemaker-metrics

# Use in code
from boto3.session import Session
from mypy_boto3_sagemaker_metrics import SageMakerMetricsClient

client: SageMakerMetricsClient = Session().client("sagemaker-metrics")

Requires Python 3.9 or later; intended as a development/type-checking dependency, not for runtime use in production.

Verify before relying:

- Whether performance impact in PyCharm is acceptable for your project size (documentation mentions potential slowness with Literal overloads).
- Whether boto3 version 1.43.0 matches your installed boto3 version; mismatches may cause type annotation errors.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 243.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

boto3 type stubs sagemaker metrics, mypy annotations aws sagemaker, boto3 sagemaker metrics typing, type hints boto3 sagemaker, ide autocomplete boto3 sagemaker, pyright boto3 type checking, sagemaker metrics type annotations, type-stubs, boto3, aws-sdk

[View on SkillFed](https://skillfed.io/packages/mypy-boto3-sagemaker-metrics) · [View on PyPI](https://pypi.org/project/mypy-boto3-sagemaker-metrics/)