--- id: mypy-boto3-datazone version: "1.43.69" license: MIT license_treatment: permissive maintenance: active --- # mypy-boto3-datazone — Type annotations for boto3 DataZone 1.43.69 service generated with mypy-boto3-builder 8.12.0 License: permissive · Maintenance: active · Downloads: 268.3K/mo ## What it is and what it does This package provides type stubs for boto3's DataZone service, generated with mypy-boto3-builder 8.12.0. It enables static type checking and IDE autocompletion when working with the DataZone API, compatible with boto3 1.43.69. The stubs include annotations for the DataZoneClient, paginators, waiters, and type definitions, allowing tools like mypy, pyright, VSCode Pylance, and PyCharm to understand your boto3 code without explicit type annotations. You install it alongside boto3 and it immediately enables type checking in your IDE or via command-line type checkers. The package is a stub-only distribution—it contains no runtime code, only type information—so it has minimal overhead. It supports Python 3.9 through 3.14 and is actively maintained, with releases tracking boto3 updates. Use it for: - Enable IDE autocompletion and type hints when writing boto3 DataZone client code in VSCode or PyCharm. - Catch type errors in DataZone API calls during development using mypy or pyright before runtime. - Provide explicit type annotations for DataZoneClient, paginators, and service resources in production code. - Improve code documentation and maintainability by making DataZone API contracts visible to other developers. - Use TYPE_CHECKING guards to include type stubs in development without adding a runtime dependency. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides type annotations and IDE autocompletion support for boto3's DataZone service, enabling static type checking with mypy, pyright, and other tools. Yes. If you use boto3 DataZone in Python, installing this package is a straightforward win: low friction, no vulnerabilities, actively maintained, and it immediately unlocks IDE autocompletion and static type checking. The MIT license carries no restrictions. The only gotcha is PyCharm's known performance issue with Literal overloads (noted in the docs), which may push some PyCharm users toward the lite variant instead. ## Install pip install mypy-boto3-datazone uv add mypy-boto3-datazone poetry add mypy-boto3-datazone ## Installing mypy-boto3-datazone Before you install: Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with a release just 3 days ago and no known vulnerabilities. License in practice: MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations. Quickstart: pip install mypy-boto3-datazone from boto3.session import Session from mypy_boto3_datazone import DataZoneClient client: DataZoneClient = Session().client("datazone") # Type checking and IDE autocompletion now work Requires Python 3.9 or later; boto3 must be installed separately in your environment. Verify before relying: - Whether the package works equally well across all listed IDEs (VSCode, PyCharm, Emacs, Sublime Text) or if performance issues noted for PyCharm apply more broadly. - Whether the lite variant (boto3-stubs-lite) is recommended as a default over the full version for most users. ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 268.3K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags boto3 type stubs datazone, aws datazone type annotations, boto3 datazone mypy support, datazone client type hints, boto3 stubs ide autocomplete, aws sdk python type checking, datazone static type checking, type-stubs, boto3, aws-sdk [View on SkillFed](https://skillfed.io/packages/mypy-boto3-datazone) · [View on PyPI](https://pypi.org/project/mypy-boto3-datazone/)