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ApplicationAutoScaling module#

Index > ApplicationAutoScaling

Auto-generated documentation for ApplicationAutoScaling type annotations stubs module types-boto3-application-autoscaling.

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==1.36.26' mypy-boto3-builder
  2. Select boto3 AWS SDK.
  3. Add ApplicationAutoScaling 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 ApplicationAutoScaling.

From PyPI with pip#

Install types-boto3 for ApplicationAutoScaling service.

# install with boto3 type annotations
python -m pip install 'types-boto3[application-autoscaling]'

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

# standalone installation
python -m pip install types-boto3-application-autoscaling

How to uninstall#

python -m pip uninstall -y types-boto3-application-autoscaling

Usage#

Code samples can be found in Examples.

ApplicationAutoScalingClient#

Type annotations and code completion for boto3.client("application-autoscaling") as ApplicationAutoScalingClient boto3 documentation

# ApplicationAutoScalingClient usage example

from boto3.session import Session

from types_boto3_application_autoscaling.client import ApplicationAutoScalingClient

def get_client() -> ApplicationAutoScalingClient:
    return Session().client("application-autoscaling")

Paginators#

Type annotations and code completion for paginators from boto3.client("application-autoscaling").get_paginator("...").

# DescribeScalableTargetsPaginator usage example

from boto3.session import Session

from types_boto3_application_autoscaling.paginator import DescribeScalableTargetsPaginator

def get_describe_scalable_targets_paginator() -> DescribeScalableTargetsPaginator:
    return Session().client("application-autoscaling").get_paginator("describe_scalable_targets"))

Literals#

Type annotations for literals used in methods and schema.

# AdjustmentTypeType usage example

from types_boto3_application_autoscaling.literals import AdjustmentTypeType

def get_value() -> AdjustmentTypeType:
    return "ChangeInCapacity"

Type definitions#

Type annotations for type definitions used in methods and schema.