mypy-boto3-datasync
Type annotations for boto3 DataSync 1.43.58 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; boto3 must be installed separately in your environment.
- 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 · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
last release 2026-07-28 (17 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 261,081 downloads/mo, #8,387 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-datasync
from boto3.session import Session
from mypy_boto3_datasync import DataSyncClient
client: DataSyncClient = Session().client("datasync")- 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.
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 on this page. Verify before relying on it.
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
mypy-boto3-datasync on PyPI
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.
Requires Python 3.9 or later; boto3 must be installed separately in your environment.
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")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 the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 261,081 / month, #8,387 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_datasync-1.43.58-py3-none-any.whl
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See also mypy-boto3-ec2 · mypy-boto3-evidently · mypy-boto3-dataexchange · mypy-boto3-rolesanywhere · mypy-boto3-iot · mypy-boto3-connect · mypy-boto3-config · mypy-boto3-rds · mypy-boto3-support · mypy-boto3-ds-data