types-aiobotocore-elb

boto3.typed

Type annotations for aiobotocore ElasticLoadBalancing 3.9.2 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated with mypy-boto3-builder 8.12.0.

More information can be found on types-aiobotocore page and in types-aiobotocore-elb docs.

See how it helps you find and fix potential bugs:

types-boto3 demo

types-aiobotocore-elb

How to install

Generate locally (recommended)

You can generate type annotations for aiobotocore package locally with mypy-boto3-builder. Use uv for build isolation.

Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==3.9.2' mypy-boto3-builder
Select aiobotocore AWS SDK.
Add ElasticLoadBalancing service.
Use provided commands to install generated packages.

From PyPI with pip

Install types-aiobotocore for ElasticLoadBalancing service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[elb]'

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

# standalone installation
python -m pip install types-aiobotocore-elb

How to uninstall

python -m pip uninstall -y types-aiobotocore-elb

Usage

VSCode

Install Python extension
Install Pylance extension
Set Pylance as your Python Language Server
Install types-aiobotocore[elb] in your environment:

python -m pip install 'types-aiobotocore[elb]'

Both type checking and code completion should now work. No explicit type annotations required, write your aiobotocore code as usual.

PyCharm

⚠️ Due to slow PyCharm performance on Literal overloads (issue PY-40997), it is recommended to use types-aiobotocore-lite until the issue is resolved.

⚠️ If you experience slow performance and high CPU usage, try to disable PyCharm type checker and use mypy or pyright instead.

⚠️ To continue using PyCharm type checker, you can try to replace types-aiobotocore with types-aiobotocore-lite:

pip uninstall types-aiobotocore
pip install types-aiobotocore-lite

Install types-aiobotocore[elb] in your environment:

python -m pip install 'types-aiobotocore[elb]'

Both type checking and code completion should now work.

Emacs

Install types-aiobotocore with services you use in your environment:

python -m pip install 'types-aiobotocore[elb]'

Install use-package, lsp, company and flycheck packages
Install lsp-pyright package

(use-package lsp-pyright
  :ensure t
  :hook (python-mode . (lambda ()
                          (require 'lsp-pyright)
                          (lsp)))  ; or lsp-deferred
  :init (when (executable-find "python3")
          (setq lsp-pyright-python-executable-cmd "python3"))
  )

Make sure emacs uses the environment where you have installed types-aiobotocore

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Sublime Text

Install types-aiobotocore[elb] with services you use in your environment:

python -m pip install 'types-aiobotocore[elb]'

Install LSP-pyright package

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Other IDEs

Not tested, but as long as your IDE supports mypy or pyright, everything should work.

mypy

Install mypy: python -m pip install mypy
Install types-aiobotocore[elb] in your environment:

python -m pip install 'types-aiobotocore[elb]'

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

pyright

Install pyright: npm i -g pyright
Install types-aiobotocore[elb] in your environment:

python -m pip install 'types-aiobotocore[elb]'

Optionally, you can install types-aiobotocore to typings directory.

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Pylint compatibility

It is totally safe to use TYPE_CHECKING flag in order to avoid types-aiobotocore-elb dependency in production. However, there is an issue in pylint that it complains about undefined variables. To fix it, set all types to object in non-TYPE_CHECKING mode.

from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from types_aiobotocore_ec2 import EC2Client, EC2ServiceResource
    from types_aiobotocore_ec2.waiters import BundleTaskCompleteWaiter
    from types_aiobotocore_ec2.paginators import DescribeVolumesPaginator
else:
    EC2Client = object
    EC2ServiceResource = object
    BundleTaskCompleteWaiter = object
    DescribeVolumesPaginator = object

...

Explicit type annotations

Client annotations

ElasticLoadBalancingClient provides annotations for session.create_client("elb").

from aiobotocore.session import get_session

from types_aiobotocore_elb import ElasticLoadBalancingClient

session = get_session()
async with session.create_client("elb") as client:
    client: ElasticLoadBalancingClient
    # now client usage is checked by mypy and IDE should provide code completion

Paginators annotations

types_aiobotocore_elb.paginator module contains type annotations for all paginators.

from aiobotocore.session import get_session

from types_aiobotocore_elb import ElasticLoadBalancingClient
from types_aiobotocore_elb.paginator import (
    DescribeAccountLimitsPaginator,
    DescribeLoadBalancersPaginator,
)

session = get_session()
async with session.create_client("elb") as client:
    client: ElasticLoadBalancingClient

    # Explicit type annotations are optional here
    # Types should be correctly discovered by mypy and IDEs
    describe_account_limits_paginator: DescribeAccountLimitsPaginator = client.get_paginator(
        "describe_account_limits"
    )
    describe_load_balancers_paginator: DescribeLoadBalancersPaginator = client.get_paginator(
        "describe_load_balancers"
    )

Waiters annotations

types_aiobotocore_elb.waiter module contains type annotations for all waiters.

from aiobotocore.session import get_session

from types_aiobotocore_elb.client import ElasticLoadBalancingClient
from types_aiobotocore_elb.waiter import (
    AnyInstanceInServiceWaiter,
    InstanceDeregisteredWaiter,
    InstanceInServiceWaiter,
)

session = get_session()
async with session.create_client("elb") as client:
    client: ElasticLoadBalancingClient

    # Explicit type annotations are optional here
    # Types should be correctly discovered by mypy and IDEs
    any_instance_in_service_waiter: AnyInstanceInServiceWaiter = client.get_waiter(
        "any_instance_in_service"
    )
    instance_deregistered_waiter: InstanceDeregisteredWaiter = client.get_waiter(
        "instance_deregistered"
    )
    instance_in_service_waiter: InstanceInServiceWaiter = client.get_waiter("instance_in_service")

Literals

types_aiobotocore_elb.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of ElasticLoadBalancing Literals can be found in docs.

from types_aiobotocore_elb.literals import AnyInstanceInServiceWaiterName


def check_value(value: AnyInstanceInServiceWaiterName) -> bool: ...

Type definitions

types_aiobotocore_elb.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of ElasticLoadBalancing TypeDefs can be found in docs.

# TypedDict usage example
from types_aiobotocore_elb.type_defs import AccessLogTypeDef


def get_value() -> AccessLogTypeDef:
    return {
        "Enabled": ...,
    }

How it works

Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for aiobotocore updates. It delivers drop-in type annotations for you and makes sure that:

All available aiobotocore services are covered.
Each public class and method of every aiobotocore service gets valid type annotations extracted from botocore schemas.
Type annotations include up-to-date documentation.
Link to documentation is provided for every method.
Code is processed by ruff for readability.

What's new

Implemented features

Fully type annotated boto3, botocore, aiobotocore and aioboto3 libraries
mypy, pyright, VSCode, PyCharm, Sublime Text and Emacs compatibility
Client, ServiceResource, Resource, Waiter Paginator type annotations for each service
Generated TypeDefs for each service
Generated Literals for each service
Auto discovery of types for boto3.client and boto3.resource calls
Auto discovery of types for session.client and session.resource calls
Auto discovery of types for client.get_waiter and client.get_paginator calls
Auto discovery of types for ServiceResource and Resource collections
Auto discovery of types for aiobotocore.Session.create_client calls

Latest changes

Builder changelog can be found in Releases.

Versioning

types-aiobotocore-elb version is the same as related aiobotocore version and follows Python Packaging version specifiers.

Thank you

Allie Fitter for boto3-type-annotations, this package is based on top of his work
black developers for an awesome formatting tool
Timothy Edmund Crosley for isort and how flexible it is
mypy developers for doing all dirty work for us
pyright team for the new era of typed Python

Documentation

All services type annotations can be found in aiobotocore docs

Support and contributing

This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.

Metadata

Release files for types-aiobotocore-elb 3.9.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for types-aiobotocore-elb 3.9.2
File	Size	Uploaded
types_aiobotocore_elb-3.9.2.tar.gz	21.8 kB	Oct 1, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for types-aiobotocore-elb 3.9.2
File	Interpreter	ABI	Platform	Reset
types_aiobotocore_elb-3.9.2-py3-none-any.whl 30.9 kB Oct 1, 2026	Python 3	none	any	Details

Total release size: 52.7 kB

Release files / types_aiobotocore_elb-3.9.2.tar.gz

Download URL	types_aiobotocore_elb-3.9.2.tar.gz
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Release files / types_aiobotocore_elb-3.9.2-py3-none-any.whl

Download URL	types_aiobotocore_elb-3.9.2-py3-none-any.whl
Size	30.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`420ec7813ae21e9c8ca01ed8ee8be281746f04f05f3c30c41e8b600c99bddb8b`
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Uploaded via	`twine/7.0.0 CPython/3.13.15`