types-aiobotocore-s3vectors
Type annotations for aiobotocore S3Vectors 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use aiobotocore with S3Vectors. It is a lightweight, actively maintained stub package with no security issues, permissive licensing, and low install friction. Install it as a development dependency to gain IDE support and static type checking with minimal setup.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires aiobotocore 3.9.0 to be installed separately; requires Python 3.9 or later.
- Low friction: pure Python wheel with only typing-extensions as a runtime dependency.
- Actively maintained with release 12 days old; repository shows 670 stars and consistent activity.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.
last release 2026-08-02 (12 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 81,303 downloads/mo, #14,238 on PyPI
Alternatives
Verify before relying
pip install 'types-aiobotocore-s3vectors'
from aiobotocore.session import get_session
from types_aiobotocore_s3vectors import S3VectorsClient
session = get_session()
async with session.create_client("s3vectors") as client:
client: S3VectorsClient- Whether PyCharm performance issues with Literal overloads mentioned in the description remain unresolved.
- Compatibility with lite variant and whether that variant is recommended for specific use cases.
- Whether the package works correctly with all supported Python versions (3.9 through 3.14) in practice.
What it is and what it does
This package is a type stub library that adds static type information for aiobotocore's S3Vectors service. It is generated automatically using mypy-boto3-builder 8.12.0 and works with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright, and other type-aware tools. When installed, it enables IDE autocompletion and type checking without requiring explicit type annotations in your code.
The package provides type annotations for S3VectorsClient, paginators, and service-specific types. It is designed as a development dependency—you can safely exclude it from production using TYPE_CHECKING guards. The stub-only approach means it adds no runtime overhead and integrates transparently with existing aiobotocore code.
Use it for
- Enable IDE autocompletion and inline type hints when writing aiobotocore S3Vectors client code.
- Run mypy or pyright type checking on S3Vectors code without manual type annotations.
- Catch type errors in async S3Vectors API calls before runtime in CI/CD pipelines.
- Document S3Vectors API contracts through type stubs for team code review and maintenance.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use aiobotocore with S3Vectors.
It is a lightweight, actively maintained stub package with no security issues, permissive licensing, and low install friction. Install it as a development dependency to gain IDE support and static type checking with minimal setup.
Install
types-aiobotocore-s3vectors on PyPI
Before you install
Low friction: pure Python wheel with only typing-extensions as a runtime dependency. Actively maintained with release 12 days old; repository shows 670 stars and consistent activity.
Requires aiobotocore 3.9.0 to be installed separately; requires 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 commercial projects.
Quickstart
pip install 'types-aiobotocore-s3vectors'
from aiobotocore.session import get_session
from types_aiobotocore_s3vectors import S3VectorsClient
session = get_session()
async with session.create_client("s3vectors") as client:
client: S3VectorsClientVerify before relying
- Whether PyCharm performance issues with Literal overloads mentioned in the description remain unresolved.
- Compatibility with lite variant and whether that variant is recommended for specific use cases.
- Whether the package works correctly with all supported Python versions (3.9 through 3.14) in practice.
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 | 81,303 / month, #14,238 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_s3vectors-3.9.0-py3-none-any.whl
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See also mypy-boto3-s3vectors · types-aiobotocore-iot · types-aiobotocore · types-aiobotocore-ec2 · types-aiobotocore-s3 · types-aiobotocore-sqs · types-aiobotocore-cloudformation · types-aiobotocore-lite · types-aiobotocore-translate · types-aiobotocore-sagemaker