mypy-boto3-sagemaker-metrics
Type annotations for boto3 SageMakerMetrics 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 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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; intended as a development/type-checking dependency, not for runtime use in production.
- Low friction install with a single runtime dependency (typing-extensions).
- Actively maintained; last commit 2026-06-22 with 670 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 243,272 downloads/mo, #8,813 on PyPI
Alternatives
Verify before relying
# 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")- 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.
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 on this page. Verify before relying on it.
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
mypy-boto3-sagemaker-metrics on PyPI
Before you install
Low friction install with a single runtime dependency (typing-extensions). Actively maintained; last commit 2026-06-22 with 670 repository stars.
Requires Python 3.9 or later; intended as a development/type-checking dependency, not for runtime use in production.
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")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 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 | 243,272 / month, #8,813 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_sagemaker_metrics-1.43.0-py3-none-any.whl
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See also mypy-boto3-sagemaker · mypy-boto3-sagemaker-featurestore-runtime · mypy-boto3-sagemaker-a2i-runtime · mypy-boto3-sagemaker-geospatial · mypy-boto3-sagemaker-edge · mypy-boto3-ec2 · mypy-boto3-iottwinmaker · mypy-boto3-kinesisanalytics · mypy-boto3-pinpoint · mypy-boto3-sagemaker-runtime