types-aiobotocore-logs
Type annotations for aiobotocore CloudWatchLogs 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. This is a low-friction, actively maintained stub package with no known vulnerabilities and a permissive MIT license. Install it if you use aiobotocore for CloudWatch Logs and want type checking and IDE support; it adds minimal overhead and is purely optional for development. Skip it only if you have no type-checking tooling in your workflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires aiobotocore 3.9.0 to be installed separately; type checking requires a compatible tool (mypy, pyright, or IDE with type support).
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Active maintenance with a recent release 12 days ago.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe for both open-source and commercial projects.
last release 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 170,357 downloads/mo, #10,398 on PyPI
Alternatives
Verify before relying
pip install types-aiobotocore-logs
from aiobotocore.session import get_session
from types_aiobotocore_logs import CloudWatchLogsClient
session = get_session()
async with session.create_client("logs") as client:
client: CloudWatchLogsClient- Whether PyCharm performance issues with Literal overloads mentioned in the docs have been resolved in recent versions.
- Specific performance impact when used with types-aiobotocore-lite alternative.
What it is and what it does
types-aiobotocore-logs is a stub package that provides type annotations for the aiobotocore CloudWatchLogs 3.9.0 service. It was generated using mypy-boto3-builder 8.12.0 and enables static type checking and IDE code completion for async AWS CloudWatch Logs operations without requiring explicit type annotations in your code.
The package works with mypy, pyright, VSCode, PyCharm, Emacs, and Sublime Text. It includes type stubs for the CloudWatchLogsClient, paginators, and type definitions, allowing developers to catch type errors early and get autocomplete suggestions while writing aiobotocore code. The package is marked as Production/Stable and supports Python 3.9 through 3.14.
Use it for
- Enable IDE autocomplete and type checking when writing async CloudWatch Logs operations with aiobotocore.
- Catch type errors in CloudWatch Logs API calls during development with mypy or pyright before runtime.
- Provide explicit type annotations for CloudWatchLogsClient in async functions without manual type definitions.
- Support paginator type checking for CloudWatch Logs list operations in async code.
- Integrate type safety into CI/CD pipelines using mypy or pyright for aiobotocore CloudWatch Logs usage.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a low-friction, actively maintained stub package with no known vulnerabilities and a permissive MIT license. Install it if you use aiobotocore for CloudWatch Logs and want type checking and IDE support; it adds minimal overhead and is purely optional for development. Skip it only if you have no type-checking tooling in your workflow.
Install
types-aiobotocore-logs on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Active maintenance with a recent release 12 days ago.
Requires aiobotocore 3.9.0 to be installed separately; type checking requires a compatible tool (mypy, pyright, or IDE with type support).
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe for both open-source and commercial projects.
Quickstart
pip install types-aiobotocore-logs
from aiobotocore.session import get_session
from types_aiobotocore_logs import CloudWatchLogsClient
session = get_session()
async with session.create_client("logs") as client:
client: CloudWatchLogsClientVerify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the docs have been resolved in recent versions.
- Specific performance impact when used with types-aiobotocore-lite alternative.
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 | 170,357 / month, #10,398 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_logs-3.9.0-py3-none-any.whl
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See also types-boto3-logs · mypy-boto3-logs · types-aiobotocore-ec2 · types-aiobotocore-cloudformation · types-aiobotocore-iot · types-aiobotocore-cloudwatch · types-aiobotocore-s3 · types-aiobotocore · types-aiobotocore-lambda · types-aiobotocore-sqs