---
id: mypy-boto3-datasync
version: "1.43.58"
license: MIT
license_treatment: permissive
maintenance: active
---

# mypy-boto3-datasync — Type annotations for boto3 DataSync 1.43.58 service generated with mypy-boto3-builder 8.12.0

License: permissive · Maintenance: active · Downloads: 261.1K/mo

## What it is and what it does

mypy-boto3-datasync is a type stub package that adds complete type annotations for boto3's DataSync service. It enables static type checkers (mypy, pyright) and IDEs (VSCode, PyCharm, Emacs, Sublime Text) to provide accurate code completion and catch type errors at development time when working with AWS DataSync resources. The package is generated automatically from boto3 1.43.58 using mypy-boto3-builder 8.12.0.

The package provides explicit type annotations for DataSyncClient, paginators, waiters, and type definitions, allowing developers to write type-safe boto3 code without manual annotations. It works transparently with most Python IDEs and type checkers; no explicit type hints are required in your code unless you opt for the lite version. The package supports Python 3.9 through 3.14 and has no external dependencies beyond typing-extensions.

Use it for:

- Enable IDE autocomplete and type checking when writing boto3 DataSync client code in VSCode or PyCharm.
- Catch type errors in DataSync API calls during static analysis with mypy or pyright before runtime.
- Provide explicit type annotations for DataSyncClient, paginators, and service resources in large codebases.
- Support type-safe boto3 DataSync code in CI/CD pipelines using mypy or pyright for quality gates.
- Reduce memory footprint in production by using TYPE_CHECKING guards to import stubs only during development.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides type annotations and IDE autocomplete support for boto3's DataSync service, enabling static type checking with mypy, pyright, and other tools.

Yes, if you use boto3 DataSync in Python code and want IDE autocomplete and static type checking. Install friction is minimal, maintenance is active, and the MIT license has no restrictions. The package is stable (Production/Stable status) with no known vulnerabilities. Consider it essential for any team using DataSync with type-aware tooling.

## Install

pip install mypy-boto3-datasync
uv add mypy-boto3-datasync
poetry add mypy-boto3-datasync

## Installing mypy-boto3-datasync

Before you install: Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases; repo shows 670 stars and last commit on 2026-06-22.

License in practice: MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.

Quickstart:

pip install mypy-boto3-datasync

from boto3.session import Session
from mypy_boto3_datasync import DataSyncClient

client: DataSyncClient = Session().client("datasync")

Requires Python 3.9 or later; boto3 must be installed separately in your environment.

Verify before relying:

- Whether PyCharm performance issues with Literal overloads (issue PY-40997) have been resolved since the documentation was written.
- Whether the boto3-stubs-lite alternative is recommended for production use to reduce memory footprint.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 261.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

boto3 type stubs datasync, aws datasync type annotations, mypy boto3 datasync, boto3 datasync autocomplete, type hints for aws datasync, datasync client typing, boto3 stubs type checking, type-stubs, aws-sdk, datasync

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