---
name: mypy-boto3-autoscaling
description: "mypy-boto3-autoscaling package guide for typed boto3 Auto Scaling clients, paginators, literals, and TypedDicts"
metadata:
  languages: "python"
  versions: "1.42.33"
  revision: 1
  updated-on: "2026-03-12"
  source: maintainer
  tags: "aws,boto3,autoscaling,mypy,typing,python"
---

# mypy-boto3-autoscaling Python Package Guide

## Golden Rule

- `mypy-boto3-autoscaling` only provides type information for `boto3` Auto Scaling usage. It is not a runtime SDK.
- Install it alongside `boto3`, or install `boto3-stubs[autoscaling]` if you want the upstream bundled path with better client inference.
- Keep the stub package version close to the `boto3` version you actually run so generated operations and shapes stay aligned.

## Version-Sensitive Notes

- On 2026-03-12, PyPI lists `mypy-boto3-autoscaling 1.42.33` as the current published release, released on 2026-01-22.
- PyPI lists `Requires: Python >=3.8`.
- The upstream versioning guide says stub package versions usually follow the corresponding `boto3` version.
- The current maintainer docs page for this package includes a local-generation command pinned to `boto3==1.42.63`, which is newer than the published stub package version. Treat the docs site as authoritative for import patterns, but use PyPI as the source of truth for what version you can actually install.
- The upstream GitHub repository has moved from `youtype/boto3-stubs` to `youtype/types-boto3`.

## Install

### Minimal Service-Specific Setup

```bash
python -m pip install "boto3" "mypy-boto3-autoscaling==1.42.33"
```

Use this when you only need Auto Scaling typings and you are willing to annotate clients explicitly.

### Bundled Upstream Install Path

```bash
python -m pip install "boto3-stubs[autoscaling]==1.42.33"
```

Use this when you want the upstream-recommended package family and better overloads for `Session.client("autoscaling")`.

### Exact-Match Fallback

If you need typings for a newer `boto3` build than PyPI currently publishes for this package, the maintainer docs point to local generation with `mypy-boto3-builder`:

```bash
uvx --with 'boto3==1.42.63' mypy-boto3-builder
```

That is a fallback for exact service-model alignment, not the normal install path.

## Runtime Setup And Auth

`mypy-boto3-autoscaling` does not configure credentials, regions, retries, or endpoints. All runtime behavior still comes from `boto3`.

Typical local setup:

```bash
aws configure
export AWS_PROFILE=dev
export AWS_DEFAULT_REGION=us-east-1
```

Then create an explicit session:

```python
from boto3.session import Session

session = Session(profile_name="dev", region_name="us-east-1")
```

AWS documents a standard credential resolution chain for boto3. In practice, these are the sources agents should check first:

1. Parameters passed directly to `boto3.client(...)` or `boto3.Session(...)`
2. Environment variables such as `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_SESSION_TOKEN`, and `AWS_DEFAULT_REGION`
3. Shared AWS credentials and config files, including named profiles
4. Role-based providers in AWS runtimes

## Core Usage

### Typed Auto Scaling Client

```python
from boto3.session import Session
from mypy_boto3_autoscaling.client import AutoScalingClient
from mypy_boto3_autoscaling.type_defs import DescribeAutoScalingGroupsAnswerTypeDef

session = Session(profile_name="dev", region_name="us-east-1")
client: AutoScalingClient = session.client("autoscaling")

response: DescribeAutoScalingGroupsAnswerTypeDef = client.describe_auto_scaling_groups(
    MaxRecords=10,
)

for group in response["AutoScalingGroups"]:
    print(group["AutoScalingGroupName"])
```

The standalone package gives you the client type, request and response shape types, and completions for Auto Scaling methods. The real API call still goes through `boto3`.

### Typed Paginators

```python
from boto3.session import Session
from mypy_boto3_autoscaling.client import AutoScalingClient
from mypy_boto3_autoscaling.paginator import DescribeAutoScalingGroupsPaginator

client: AutoScalingClient = Session(region_name="us-east-1").client("autoscaling")
paginator: DescribeAutoScalingGroupsPaginator = client.get_paginator(
    "describe_auto_scaling_groups"
)

for page in paginator.paginate(PaginationConfig={"MaxItems": 50}):
    for group in page["AutoScalingGroups"]:
        print(group["AutoScalingGroupName"])
```

Use typed paginators instead of hand-rolled token loops when an Auto Scaling operation supports pagination.

### Typed Nested Shapes

```python
from boto3.session import Session
from mypy_boto3_autoscaling.client import AutoScalingClient
from mypy_boto3_autoscaling.type_defs import LaunchTemplateSpecificationTypeDef

client: AutoScalingClient = Session(region_name="us-east-1").client("autoscaling")

launch_template: LaunchTemplateSpecificationTypeDef = {
    "LaunchTemplateName": "web-asg-template",
    "Version": "$Latest",
}

client.update_auto_scaling_group(
    AutoScalingGroupName="web-asg",
    LaunchTemplate=launch_template,
)
```

Use `type_defs` whenever you pass nested AWS-shaped dictionaries between helpers or want static validation for request and response keys.

### Literals For Enum-Like Values

```python
from mypy_boto3_autoscaling.literals import MetricStatisticTypeType

statistic: MetricStatisticTypeType = "Average"
```

Use generated literal types when you want refactor-safe handling of constrained strings instead of bare string constants.

## Type Checker And IDE Setup

- Install the stubs in the same environment that `mypy`, `pyright`, or your editor is analyzing.
- Import from `mypy_boto3_autoscaling`, not `mypy-boto3-autoscaling`. The PyPI name uses hyphens; the Python import uses underscores.
- If you install only the standalone package, explicit annotations like `client: AutoScalingClient = ...` are the safest path.
- If the stub package is dev-only, guard imports with `TYPE_CHECKING` so production environments do not need it installed:

```python
from typing import TYPE_CHECKING
from boto3.session import Session

if TYPE_CHECKING:
    from mypy_boto3_autoscaling.client import AutoScalingClient

def make_client() -> "AutoScalingClient":
    return Session(region_name="us-east-1").client("autoscaling")
```

## Common Pitfalls

- Do not try to create runtime clients from `mypy_boto3_autoscaling`. Runtime calls still come from `boto3`.
- Do not expect the standalone package to infer `Session.client("autoscaling")` types automatically in every tool. Add explicit annotations when inference is weak.
- Do not use the wrong service name. The boto3 service string is `"autoscaling"`.
- Do not assume the docs-site generator version is the same as the published PyPI package version. For installable pins, trust PyPI.
- Do not forget region and credential setup. Correct type annotations do not prevent runtime auth or configuration failures.
- Do not let `boto3` drift far ahead of the stub package if you rely on exact request or response shapes for newer Auto Scaling features.

## Official Sources

- Maintainer docs: `https://youtype.github.io/boto3_stubs_docs/mypy_boto3_autoscaling/`
- Package examples: `https://youtype.github.io/boto3_stubs_docs/mypy_boto3_autoscaling/usage-examples/`
- Paginator reference: `https://youtype.github.io/boto3_stubs_docs/mypy_boto3_autoscaling/paginators/`
- TypedDict reference: `https://youtype.github.io/boto3_stubs_docs/mypy_boto3_autoscaling/type_defs/`
- Literal reference: `https://youtype.github.io/boto3_stubs_docs/mypy_boto3_autoscaling/literals/`
- Upstream versioning guide: `https://youtype.github.io/boto3_stubs_docs/#versioning`
- PyPI package page: `https://pypi.org/project/mypy-boto3-autoscaling/`
- Boto3 credentials guide: `https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html`
- Upstream repository: `https://github.com/youtype/types-boto3`
