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KinesisAnalytics module#

Index > KinesisAnalytics

Auto-generated documentation for KinesisAnalytics type annotations stubs module mypy-boto3-kinesisanalytics.

How to install#

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.35.86' mypy_boto3_builder
  2. Select boto3-stubs AWS SDK.
  3. Add KinesisAnalytics service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and KinesisAnalytics.

From PyPI with pip#

Install boto3-stubs for KinesisAnalytics service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[kinesisanalytics]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[kinesisanalytics]'

# standalone installation
python -m pip install mypy-boto3-kinesisanalytics

How to uninstall#

python -m pip uninstall -y mypy-boto3-kinesisanalytics

Usage#

Code samples can be found in Examples.

KinesisAnalyticsClient#

Type annotations and code completion for boto3.client("kinesisanalytics") as KinesisAnalyticsClient boto3 documentation

# KinesisAnalyticsClient usage example

from boto3.session import Session

from mypy_boto3_kinesisanalytics.client import KinesisAnalyticsClient

def get_client() -> KinesisAnalyticsClient:
    return Session().client("kinesisanalytics")

Literals#

Type annotations for literals used in methods and schema.

# ApplicationStatusType usage example

from mypy_boto3_kinesisanalytics.literals import ApplicationStatusType

def get_value() -> ApplicationStatusType:
    return "DELETING"

Type definitions#

Type annotations for type definitions used in methods and schema.