mypy-boto3-logs
Type annotations for boto3 CloudWatchLogs 1.43.66 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. This is a lightweight, actively maintained type-stub package with no known vulnerabilities, permissive licensing, and low install friction. Install it if you use boto3 for CloudWatch Logs and want IDE autocompletion and static type checking. It is optional at runtime but valuable during development.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; boto3 must be installed separately in your environment.
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Released 7 days ago with active maintenance; the repository has 670 stars and was last updated 2026-06-22.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
last release 2026-08-07 (7 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,047,635 downloads/mo, #3,342 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-logs
from boto3.session import Session
from mypy_boto3_logs import CloudWatchLogsClient
client: CloudWatchLogsClient = Session().client("logs")
# Type checking and IDE completion now work for client usage- Whether PyCharm performance issues mentioned in the docs (issue PY-40997) still affect current versions.
- Whether the lite variant (boto3-stubs-lite) is recommended for production deployments to reduce memory overhead.
What it is and what it does
mypy-boto3-logs is a type-stub package that adds complete type annotations for the boto3 CloudWatchLogs service. It is generated from boto3 1.43.66 and works with mypy, pyright, VSCode Pylance, PyCharm, Emacs, Sublime Text, and other IDE and type-checker tools. When installed, it enables static type checking and IDE autocompletion for CloudWatchLogs client calls without requiring explicit type annotations in your code.
The package depends only on typing-extensions and is designed as a development-time or optional runtime dependency. It supports Python 3.9 through 3.14 and is classified as Production/Stable. The documentation notes that PyCharm users may experience performance issues with Literal overloads and recommends using the lite variant or switching to mypy/pyright for type checking in that case.
Use it for
- Enable IDE autocompletion and type hints when using boto3 to interact with AWS CloudWatch Logs.
- Run mypy or pyright type checking on code that calls CloudWatchLogs client methods.
- Catch type errors at development time before deploying boto3-based AWS applications.
- Use TYPE_CHECKING guards to include type annotations without adding a production runtime dependency.
- Work with paginators and service resource types with full type safety in CloudWatch Logs operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a lightweight, actively maintained type-stub package with no known vulnerabilities, permissive licensing, and low install friction. Install it if you use boto3 for CloudWatch Logs and want IDE autocompletion and static type checking. It is optional at runtime but valuable during development.
Install
mypy-boto3-logs on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Released 7 days ago with active maintenance; the repository has 670 stars and was last updated 2026-06-22.
Requires Python 3.9 or later; boto3 must be installed separately in your environment.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
Quickstart
pip install mypy-boto3-logs
from boto3.session import Session
from mypy_boto3_logs import CloudWatchLogsClient
client: CloudWatchLogsClient = Session().client("logs")
# Type checking and IDE completion now work for client usage
Verify before relying
- Whether PyCharm performance issues mentioned in the docs (issue PY-40997) still affect current versions.
- Whether the lite variant (boto3-stubs-lite) is recommended for production deployments to reduce memory overhead.
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 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,047,635 / month, #3,342 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_logs-1.43.66-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “type hints for boto3 logs client”
- mypy-boto3-logsProvides type annotations for boto3's CloudWatchLogs service,…
- types-boto3-logsProvides type annotations for boto3's CloudWatchLogs service,…
- types-aiobotocore-logsProvides type annotations for aiobotocore CloudWatchLogs 3.9.0,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also types-boto3-logs · types-aiobotocore-logs · mypy-boto3-s3 · mypy-boto3-evidently · mypy-boto3-cloudwatch · mypy-boto3-backup · mypy-boto3-cloudtrail · mypy-boto3-kafka · mypy-boto3-ec2 · mypy-boto3-drs