mypy-boto3-elbv2
Type annotations for boto3 ElasticLoadBalancingv2 1.43.54 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes—if you use boto3 ElasticLoadBalancingv2 in a project where you run mypy, pyright, or use a type-aware IDE. The install is frictionless, the package is actively maintained with no known vulnerabilities, and the MIT license poses no restrictions. Install it as a dev dependency and use TYPE_CHECKING guards if you want to exclude it from production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with a single lightweight dependency (typing-extensions).
- Package is actively maintained with a recent release, and has been stable since 2019.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—safe for both open-source and commercial projects.
last release 2026-07-22 (23 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 984,278 downloads/mo, #4,578 on PyPI
Alternatives
Verify before relying
# Install with pip
python -m pip install mypy-boto3-elbv2
# Use in code
from boto3.session import Session
from mypy_boto3_elbv2 import ElasticLoadBalancingv2Client
client: ElasticLoadBalancingv2Client = Session().client("elbv2")- Whether PyCharm performance issues with Literal overloads (referenced in docs) affect this version specifically
- Whether the lite variant (boto3-stubs-lite) offers meaningful performance benefits for typical workloads
What it is and what it does
This package is a type-stub library that adds complete type annotations to boto3's ElasticLoadBalancingv2 service. It enables IDEs (VSCode, PyCharm, Emacs, Sublime Text) and type checkers (mypy, pyright) to understand boto3 ElasticLoadBalancingv2 API calls, providing code completion, inline documentation, and static type checking without requiring explicit type hints in your code.
The package is generated from boto3 1.43.54 using mypy-boto3-builder and includes annotations for clients, paginators, waiters, and type definitions. It depends only on typing-extensions and is designed as a development-time dependency—you can use TYPE_CHECKING guards to exclude it from production builds. The package supports Python 3.9 through 3.14 and is classified as Production/Stable.
Use it for
- Enable IDE autocompletion and type hints when writing boto3 ElasticLoadBalancingv2 code in VSCode or PyCharm
- Catch ElasticLoadBalancingv2 API usage errors at type-check time with mypy or pyright before runtime
- Document ElasticLoadBalancingv2 client method signatures and return types for team code review
- Reduce debugging time by catching incorrect parameter names or types in load balancer operations
- Support paginator and waiter type annotations for complex ElasticLoadBalancingv2 queries
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—if you use boto3 ElasticLoadBalancingv2 in a project where you run mypy, pyright, or use a type-aware IDE.
The install is frictionless, the package is actively maintained with no known vulnerabilities, and the MIT license poses no restrictions. Install it as a dev dependency and use TYPE_CHECKING guards if you want to exclude it from production.
Install
mypy-boto3-elbv2 on PyPI
Before you install
Low friction install with a single lightweight dependency (typing-extensions). Package is actively maintained with a recent release, and has been stable since 2019.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—safe for both open-source and commercial projects.
Quickstart
# Install with pip
python -m pip install mypy-boto3-elbv2
# Use in code
from boto3.session import Session
from mypy_boto3_elbv2 import ElasticLoadBalancingv2Client
client: ElasticLoadBalancingv2Client = Session().client("elbv2")Verify before relying
- Whether PyCharm performance issues with Literal overloads (referenced in docs) affect this version specifically
- Whether the lite variant (boto3-stubs-lite) offers meaningful performance benefits for typical workloads
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 23 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 984,278 / month, #4,578 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_elbv2-1.43.54-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
An agent finds packages by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language. Give your agent the search over MCP.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also types-boto3-elbv2 · types-aiobotocore-elbv2 · mypy-boto3-ec2 · mypy-boto3-cloudformation · mypy-boto3-elb · mypy-boto3-config · mypy-boto3-sesv2 · boto3-stubs-full · mypy-boto3-drs · mypy-boto3-snowball