mypy-boto3-kinesisanalytics
Type annotations for boto3 KinesisAnalytics 1.43.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. Install this if you use boto3 KinesisAnalytics and want static type checking or IDE support. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a safe choice. If you experience PyCharm slowness, consider boto3-stubs-lite instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- PyCharm users may experience performance issues; boto3-stubs-lite is recommended as an alternative.
- Low friction install with a single lightweight runtime dependency (typing-extensions).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 286,761 downloads/mo, #8,039 on PyPI
Alternatives
Verify before relying
# Install
python -m pip install mypy-boto3-kinesisanalytics
# Use with type checking
from boto3.session import Session
from mypy_boto3_kinesisanalytics import KinesisAnalyticsClient
client: KinesisAnalyticsClient = Session().client("kinesisanalytics")
# Now mypy and your IDE provide type checking and completion- Whether the package is compatible with all boto3 versions or only 1.43.0 specifically
- Performance impact when used with PyCharm (documentation warns of potential slowness with Literal overloads)
What it is and what it does
This package is a type-stub library that adds complete type annotations to boto3's KinesisAnalytics service. It is generated automatically using mypy-boto3-builder and works with Python 3.9 through 3.14. The stubs enable static type checkers (mypy, pyright) and IDEs (VSCode, PyCharm, Emacs, Sublime Text) to provide real-time type checking and code completion when you write boto3 KinesisAnalytics code, without requiring explicit type annotations in your own code.
The package depends only on typing-extensions and installs as a wheel with no compiled dependencies. It can be used standalone or as part of boto3-stubs (a larger collection of service stubs). The documentation notes that PyCharm may experience performance issues with the full stubs due to Literal overload handling, and recommends boto3-stubs-lite as an alternative in that case.
Use it for
- Enable IDE autocompletion and inline type hints when writing boto3 KinesisAnalytics client code in VSCode or other editors.
- Run mypy or pyright type checking on boto3 KinesisAnalytics calls to catch type errors before runtime.
- Access type definitions and literals for KinesisAnalytics service parameters in your own type annotations.
- Use boto3 KinesisAnalytics in a typed codebase without writing manual type annotations for every client call.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Install this if you use boto3 KinesisAnalytics and want static type checking or IDE support. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a safe choice. If you experience PyCharm slowness, consider boto3-stubs-lite instead.
Install
mypy-boto3-kinesisanalytics on PyPI
Before you install
Low friction install with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent commits and a stable release cadence.
Requires Python 3.9 or later. PyCharm users may experience performance issues; boto3-stubs-lite is recommended as an alternative.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.
Quickstart
# Install
python -m pip install mypy-boto3-kinesisanalytics
# Use with type checking
from boto3.session import Session
from mypy_boto3_kinesisanalytics import KinesisAnalyticsClient
client: KinesisAnalyticsClient = Session().client("kinesisanalytics")
# Now mypy and your IDE provide type checking and completionVerify before relying
- Whether the package is compatible with all boto3 versions or only 1.43.0 specifically
- Performance impact when used with PyCharm (documentation warns of potential slowness with Literal overloads)
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 | 286,761 / month, #8,039 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_kinesisanalytics-1.43.0-py3-none-any.whl
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See also mypy-boto3-iottwinmaker · mypy-boto3-kinesis-video-media · mypy-boto3-kinesis · mypy-boto3-kinesisanalyticsv2 · mypy-boto3-kinesis-video-signaling · mypy-boto3-application-insights · mypy-boto3-detective · mypy-boto3-pinpoint · mypy-boto3-sagemaker-metrics · mypy-boto3-panorama