types-aiobotocore-cloudtrail
Type annotations for aiobotocore CloudTrail 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. If you use aiobotocore for CloudTrail operations, this package is worth installing. It has low install friction, active maintenance, MIT licensing, no known vulnerabilities, and provides immediate value through IDE support and type checking. The only caveat is PyCharm users may experience performance issues with Literal overloads; the documentation suggests using the lite variant in that case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires aiobotocore 3.9.0 to be installed separately; Python 3.9 or later.
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Actively maintained with recent releases; last commit 2026-06-22 and release 12 days old.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
last release 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 228,991 downloads/mo, #9,139 on PyPI
Alternatives
Verify before relying
pip install types-aiobotocore-cloudtrail
from aiobotocore.session import get_session
from types_aiobotocore_cloudtrail import CloudTrailClient
session = get_session()
async with session.create_client("cloudtrail") as client:
client: CloudTrailClient # type checking now enabled- Whether PyCharm performance issues with Literal overloads mentioned in the description have been resolved in current versions.
- Actual type coverage completeness for all CloudTrail operations and edge cases.
What it is and what it does
This package is a type stub library that adds static type information for aiobotocore's CloudTrail service. It is generated automatically using mypy-boto3-builder and works with type checkers (mypy, pyright) and IDEs (VSCode, PyCharm, Emacs, Sublime Text) to provide code completion and catch type errors before runtime.
The package contains type annotations for CloudTrailClient, paginators, and service-specific type definitions. It is designed to be installed alongside aiobotocore and requires only typing-extensions as a runtime dependency. The annotations enable developers to write async CloudTrail code with full IDE support and static type safety, without requiring explicit type annotations in most cases.
Use it for
- Enable IDE autocomplete and type checking when writing async CloudTrail audit log queries with aiobotocore.
- Catch type mismatches in CloudTrail API calls during development using mypy or pyright before deployment.
- Provide explicit type hints for CloudTrailClient, paginators, and response objects in production async code.
- Support team development by making CloudTrail API contracts visible in VSCode, PyCharm, and other editors.
- Use with TYPE_CHECKING guards to add type safety without adding a production runtime dependency.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
If you use aiobotocore for CloudTrail operations, this package is worth installing. It has low install friction, active maintenance, MIT licensing, no known vulnerabilities, and provides immediate value through IDE support and type checking. The only caveat is PyCharm users may experience performance issues with Literal overloads; the documentation suggests using the lite variant in that case.
Install
types-aiobotocore-cloudtrail on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases; last commit 2026-06-22 and release 12 days old.
Requires aiobotocore 3.9.0 to be installed separately; Python 3.9 or later.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
Quickstart
pip install types-aiobotocore-cloudtrail
from aiobotocore.session import get_session
from types_aiobotocore_cloudtrail import CloudTrailClient
session = get_session()
async with session.create_client("cloudtrail") as client:
client: CloudTrailClient # type checking now enabledVerify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the description have been resolved in current versions.
- Actual type coverage completeness for all CloudTrail operations and edge cases.
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 | 228,991 / month, #9,139 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_cloudtrail-3.9.0-py3-none-any.whl
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See also mypy-boto3-cloudtrail · types-aiobotocore-ec2 · types-aiobotocore-cloudformation · types-aiobotocore-iot · types-aiobotocore-s3 · types-aiobotocore-lite · types-aiobotocore-cloudwatch · types-aiobotocore-sqs · types-aiobotocore · types-aiobotocore-connect