types-aiobotocore-dataexchange
Type annotations for aiobotocore DataExchange 3.9.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use the DataExchange service. The low install friction, active maintenance, MIT license, and zero security vulnerabilities make it a straightforward addition. Install it in your development environment to gain IDE support and type checking; use TYPE_CHECKING guards if you want to avoid a production dependency.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; type checking requires a compatible tool such as mypy or pyright.
- Low friction install with a single runtime dependency (typing-extensions).
- Actively maintained with a recent release; the package is a pure type stub with no compiled dependencies.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in 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) · 948,542 downloads/mo, #4,661 on PyPI
Alternatives
Verify before relying
pip install types-aiobotocore-dataexchange
from aiobotocore.session import get_session
from types_aiobotocore_dataexchange import DataExchangeClient
session = get_session()
async with session.create_client("dataexchange") as client:
client: DataExchangeClient- Whether PyCharm performance issues with Literal overloads have been resolved in recent versions.
- Specific performance impact of the full package versus the lite variant in production environments.
- Whether the documented TYPE_CHECKING pattern is necessary or recommended for production use.
What it is and what it does
This package provides type annotations for the DataExchange service, generated with mypy-boto3-builder 8.12.0. It enables static type checking and IDE autocomplete for async DataExchange API calls, working with mypy, pyright, VSCode, PyCharm, Emacs, and Sublime Text. The package is a pure type stub that adds complete type information to service operations, clients, paginators, and waiters.
When installed, developers gain IDE support for method signatures, parameter types, and return types without writing explicit annotations. The package is designed as a development-time dependency and can be used with TYPE_CHECKING guards to avoid runtime overhead. It supports Python 3.9 through 3.14 and requires only typing-extensions as a runtime dependency.
Use it for
- Enable IDE autocomplete and type checking when writing async code against DataExchange.
- Catch type errors in DataExchange API calls during development with mypy or pyright.
- Document expected parameter and return types for DataExchange operations in team codebases.
- Support paginator and waiter type annotations for complex DataExchange workflows.
- Use with TYPE_CHECKING guards to provide types for development while keeping production dependencies minimal.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use the DataExchange service.
The low install friction, active maintenance, MIT license, and zero security vulnerabilities make it a straightforward addition. Install it in your development environment to gain IDE support and type checking; use TYPE_CHECKING guards if you want to avoid a production dependency.
Install
types-aiobotocore-dataexchange on PyPI
Before you install
Low friction install with a single runtime dependency (typing-extensions). Actively maintained with a recent release; the package is a pure type stub with no compiled dependencies.
Requires Python 3.9 or later; type checking requires a compatible tool such as mypy or pyright.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
Quickstart
pip install types-aiobotocore-dataexchange
from aiobotocore.session import get_session
from types_aiobotocore_dataexchange import DataExchangeClient
session = get_session()
async with session.create_client("dataexchange") as client:
client: DataExchangeClientVerify before relying
- Whether PyCharm performance issues with Literal overloads have been resolved in recent versions.
- Specific performance impact of the full package versus the lite variant in production environments.
- Whether the documented TYPE_CHECKING pattern is necessary or recommended for production use.
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 | 948,542 / month, #4,661 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_dataexchange-3.9.0-py3-none-any.whl
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See also mypy-boto3-dataexchange · types-aiobotocore-ec2 · types-aiobotocore-iot · types-aiobotocore-s3 · types-aiobotocore-sqs · types-aiobotocore-ssm · types-aiobotocore-translate · types-aiobotocore · types-aiobotocore-lite · types-aiobotocore-kms