mypy-boto3-sagemaker-edge
Type annotations for boto3 SagemakerEdgeManager 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 with SagemakerEdgeManager and want static type checking or IDE autocomplete. Install friction is minimal, maintenance is active, the license is permissive, and there are no known vulnerabilities. Install directly or as part of a broader boto3-stubs installation depending on your needs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires boto3 1.43.0 to be installed separately; type checking requires mypy, pyright, or a compatible IDE.
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Actively maintained with recent releases; last commit on 2026-06-22 and 670 repository stars indicate ongoing support.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and commercial projects with minimal restrictions.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 248,994 downloads/mo, #8,656 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-sagemaker-edge
from boto3.session import Session
from mypy_boto3_sagemaker_edge import SagemakerEdgeManagerClient
client: SagemakerEdgeManagerClient = Session().client("sagemaker-edge")- Whether PyCharm performance issues mentioned in the docs (issue PY-40997) remain unresolved or have been addressed.
- Performance and RAM trade-offs between full and lite installation variants for production use.
What it is and what it does
This package is a type-stub library that adds static type information to boto3's SagemakerEdgeManager service. It is generated automatically from boto3's service definitions using mypy-boto3-builder 8.12.0 and works as a drop-in companion to boto3 1.43.0, enabling IDEs and type checkers to understand and validate your AWS API calls at development time.
When installed, it provides full autocomplete, parameter validation, and return-type inference for SagemakerEdgeManager operations across VSCode, PyCharm, Emacs, Sublime Text, mypy, and pyright. The stubs include explicit type annotations for client objects, service resources, waiters, paginators, and literal types extracted from AWS shapes, allowing you to catch type mismatches before runtime without writing manual type hints.
Use it for
- Enable IDE autocomplete and inline documentation for SagemakerEdgeManager API calls in VSCode or PyCharm.
- Run mypy or pyright type checking on boto3 code to catch parameter and return-type errors before deployment.
- Use explicit type annotations for SagemakerEdgeManagerClient to document expected AWS client types in function signatures.
- Validate literal values for SagemakerEdgeManager operations at type-check time without runtime errors.
- Integrate type checking into CI/CD pipelines to enforce type safety on AWS SDK usage across a team.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use boto3 with SagemakerEdgeManager and want static type checking or IDE autocomplete.
Install friction is minimal, maintenance is active, the license is permissive, and there are no known vulnerabilities. Install directly or as part of a broader boto3-stubs installation depending on your needs.
Install
mypy-boto3-sagemaker-edge on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases; last commit on 2026-06-22 and 670 repository stars indicate ongoing support.
Requires boto3 1.43.0 to be installed separately; type checking requires mypy, pyright, or a compatible IDE.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and commercial projects with minimal restrictions.
Quickstart
pip install mypy-boto3-sagemaker-edge
from boto3.session import Session
from mypy_boto3_sagemaker_edge import SagemakerEdgeManagerClient
client: SagemakerEdgeManagerClient = Session().client("sagemaker-edge")Verify before relying
- Whether PyCharm performance issues mentioned in the docs (issue PY-40997) remain unresolved or have been addressed.
- Performance and RAM trade-offs between full and lite installation variants for production use.
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 | 248,994 / month, #8,656 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_edge-1.43.0-py3-none-any.whl
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See also mypy-boto3-sagemaker · mypy-boto3-iottwinmaker · mypy-boto3-sagemaker-metrics · mypy-boto3-sagemaker-featurestore-runtime · mypy-boto3-ec2 · mypy-boto3-iotdeviceadvisor · mypy-boto3-kinesisanalytics · mypy-boto3-sagemaker-runtime · mypy-boto3-apigatewaymanagementapi · mypy-boto3-pinpoint