types-aiobotocore-sesv2
Type annotations for aiobotocore SESV2 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. Install this if you use aiobotocore with SESV2 and want IDE autocompletion and static type checking. It has low friction, no vulnerabilities, active maintenance, and MIT licensing. It is a development-only dependency and does not affect runtime behavior or production dependencies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires aiobotocore 3.9.0 to be installed separately; Python 3.9 or later.
- Low install friction with a single lightweight dependency (typing-extensions).
- Package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and proprietary projects.
last release 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 203,521 downloads/mo, #9,629 on PyPI
Alternatives
Verify before relying
# Install
python -m pip install 'types-aiobotocore[sesv2]'
# Use in code
from aiobotocore.session import get_session
from types_aiobotocore_sesv2 import SESV2Client
session = get_session()
async with session.create_client("sesv2") as client:
client: SESV2Client
# Type checking and IDE completion now work- Whether PyCharm performance issues with Literal overloads mentioned in the docs still apply to current versions.
- Exact scope of SESV2 service coverage (which operations and resource types are annotated).
What it is and what it does
This package is a type stub library that adds static type information for aiobotocore's SESV2 (Amazon SES v2) service. It is generated automatically from aiobotocore's API definitions and works with type checkers like mypy and pyright, as well as IDEs like VSCode, PyCharm, Emacs, and Sublime Text. When installed, it enables IDE autocompletion and catches type errors at development time without requiring explicit type annotations in your code.
The package is designed as a development dependency—you install it in your environment to get type checking and IDE support, but it is not needed at runtime. It depends only on typing-extensions and is actively maintained, with releases tracking aiobotocore's version updates. The library supports Python 3.9 through 3.14 and is classified as production-stable.
Use it for
- Enable IDE autocompletion and type hints when writing aiobotocore SESV2 client code in VSCode or PyCharm.
- Run mypy or pyright type checking on async AWS SES v2 code to catch type errors before deployment.
- Annotate SESV2 client and paginator types explicitly in codebases that use TYPE_CHECKING guards.
- Support team development by providing consistent type information across different editors and CI/CD type checkers.
- Migrate legacy aiobotocore code to typed Python by leveraging stub-based type discovery.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Install this if you use aiobotocore with SESV2 and want IDE autocompletion and static type checking. It has low friction, no vulnerabilities, active maintenance, and MIT licensing. It is a development-only dependency and does not affect runtime behavior or production dependencies.
Install
types-aiobotocore-sesv2 on PyPI
Before you install
Low install friction with a single lightweight dependency (typing-extensions). Package is actively maintained with a recent release and no known vulnerabilities.
Requires aiobotocore 3.9.0 to be installed separately; Python 3.9 or later.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and proprietary projects.
Quickstart
# Install
python -m pip install 'types-aiobotocore[sesv2]'
# Use in code
from aiobotocore.session import get_session
from types_aiobotocore_sesv2 import SESV2Client
session = get_session()
async with session.create_client("sesv2") as client:
client: SESV2Client
# Type checking and IDE completion now work
Verify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the docs still apply to current versions.
- Exact scope of SESV2 service coverage (which operations and resource types are annotated).
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 12 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 203,521 / month, #9,629 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: types_aiobotocore_sesv2-3.9.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “sesv2 type annotations”
- types-aiobotocore-sesv2Provides type annotations and IDE autocompletion support for…
- mypy-boto3-sesv2Provides type annotations for boto3's SESV2 client, enabling IDE…
- types-boto3-sesv2Provides type annotations and IDE autocompletion for boto3's SESV2…
Give your agent the search over MCP, or paste the wish link into any chat.
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-aiobotocore-ec2 · mypy-boto3-sesv2 · types-boto3-sesv2 · types-aiobotocore-ses · types-aiobotocore-iot · types-aiobotocore-sqs · types-aiobotocore-s3 · types-aiobotocore · types-aiobotocore-kms · types-aiobotocore-ssm